{"id":"https://openalex.org/W4327700871","doi":"https://doi.org/10.1007/s10278-023-00804-1","title":"Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study","display_name":"Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study","publication_year":2023,"publication_date":"2023-03-17","ids":{"openalex":"https://openalex.org/W4327700871","doi":"https://doi.org/10.1007/s10278-023-00804-1","pmid":"https://pubmed.ncbi.nlm.nih.gov/36932251"},"language":"en","primary_location":{"id":"doi:10.1007/s10278-023-00804-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10278-023-00804-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10278-023-00804-1.pdf","source":{"id":"https://openalex.org/S62275304","display_name":"Journal of Digital Imaging","issn_l":"0897-1889","issn":["0897-1889","1618-727X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Digital Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10278-023-00804-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067387605","display_name":"Harrison C. Gottlich","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Harrison C. Gottlich","raw_affiliation_strings":["Mayo Clinic Alix School of Medicine, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic Alix School of Medicine, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017863972","display_name":"Adriana Gregory","orcid":"https://orcid.org/0000-0001-9760-5302"},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"funder","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adriana V. Gregory","raw_affiliation_strings":["Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006595036","display_name":"Vidit Sharma","orcid":"https://orcid.org/0000-0002-4715-5451"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vidit Sharma","raw_affiliation_strings":["Department of Urology, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Urology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053480742","display_name":"Abhinav Khanna","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhinav Khanna","raw_affiliation_strings":["Department of Urology, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Urology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050326966","display_name":"Amr U. Moustafa","orcid":null},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"funder","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amr U. Moustafa","raw_affiliation_strings":["Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047776435","display_name":"Christine M. Lohse","orcid":"https://orcid.org/0000-0001-9888-7495"},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"funder","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christine M. Lohse","raw_affiliation_strings":["Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037484710","display_name":"Theodora A. Potretzke","orcid":"https://orcid.org/0000-0002-2649-1456"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theodora A. Potretzke","raw_affiliation_strings":["Department of Radiology, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053303391","display_name":"Panagiotis Korfiatis","orcid":"https://orcid.org/0000-0003-2516-1751"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panagiotis Korfiatis","raw_affiliation_strings":["Department of Radiology, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090472036","display_name":"Aaron M. Potretzke","orcid":"https://orcid.org/0000-0003-4619-1773"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron M. Potretzke","raw_affiliation_strings":["Department of Urology, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Urology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009905139","display_name":"Aleksandar \u0110eni\u0107","orcid":"https://orcid.org/0000-0001-9157-5405"},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"funder","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aleksandar Denic","raw_affiliation_strings":["Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031580643","display_name":"Andrew D. Rule","orcid":"https://orcid.org/0000-0003-0338-7784"},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"funder","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew D. Rule","raw_affiliation_strings":["Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029672982","display_name":"Naoki Takahashi","orcid":"https://orcid.org/0000-0002-7946-6078"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naoki Takahashi","raw_affiliation_strings":["Department of Radiology, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008832314","display_name":"Bradley J. Erickson","orcid":"https://orcid.org/0000-0001-7926-6095"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bradley J. Erickson","raw_affiliation_strings":["Department of Radiology, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005864006","display_name":"Bradley C. Leibovich","orcid":"https://orcid.org/0000-0003-0043-6659"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bradley C. Leibovich","raw_affiliation_strings":["Department of Urology, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Urology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016336723","display_name":"Timothy L. Kline","orcid":"https://orcid.org/0000-0002-7917-9853"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]},{"id":"https://openalex.org/I4210146710","display_name":"Mayo Clinic in Florida","ror":"https://ror.org/03zzw1w08","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210146710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy L. Kline","raw_affiliation_strings":["Department of Radiology, Mayo Clinic, Rochester, MN, USA. Kline.Timothy@mayo.edu","Department of Radiology, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Mayo Clinic, Rochester, MN, USA. Kline.Timothy@mayo.edu","institution_ids":["https://openalex.org/I4210125099","https://openalex.org/I4210146710"]},{"raw_affiliation_string":"Department of Radiology, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":15,"corresponding_author_ids":["https://openalex.org/A5067387605"],"corresponding_institution_ids":["https://openalex.org/I4210125099"],"apc_list":{"value":3190,"currency":"EUR","value_usd":4190},"apc_paid":{"value":3190,"currency":"EUR","value_usd":4190},"fwci":2.7917,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90346513,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"36","issue":"4","first_page":"1770","last_page":"1781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10449","display_name":"Renal cell carcinoma treatment","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6502883434295654},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6437254548072815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6063759922981262},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6032525300979614},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5843650102615356},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5472525954246521},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.517730176448822},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4494566023349762},{"id":"https://openalex.org/keywords/standard-test-image","display_name":"Standard test image","score":0.44931477308273315},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.4432953894138336},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4346040189266205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.426797479391098},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4222191572189331},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41621094942092896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3242565393447876},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29491788148880005},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21576228737831116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1911962628364563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6502883434295654},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6437254548072815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6063759922981262},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6032525300979614},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5843650102615356},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5472525954246521},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.517730176448822},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4494566023349762},{"id":"https://openalex.org/C180462255","wikidata":"https://www.wikidata.org/wiki/Q3559736","display_name":"Standard test image","level":4,"score":0.44931477308273315},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.4432953894138336},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4346040189266205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.426797479391098},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4222191572189331},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41621094942092896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3242565393447876},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29491788148880005},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21576228737831116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1911962628364563}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007680","descriptor_name":"Kidney Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D007680","descriptor_name":"Kidney Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D007680","descriptor_name":"Kidney Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1007/s10278-023-00804-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10278-023-00804-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10278-023-00804-1.pdf","source":{"id":"https://openalex.org/S62275304","display_name":"Journal of Digital Imaging","issn_l":"0897-1889","issn":["0897-1889","1618-727X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Digital Imaging","raw_type":"journal-article"},{"id":"pmid:36932251","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36932251","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of digital imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10406754","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10406754","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10406754/pdf/10278_2023_Article_804.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Digit Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10278-023-00804-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10278-023-00804-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10278-023-00804-1.pdf","source":{"id":"https://openalex.org/S62275304","display_name":"Journal of Digital Imaging","issn_l":"0897-1889","issn":["0897-1889","1618-727X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Digital Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1186425745","display_name":null,"funder_award_id":"R03DK125632","funder_id":"https://openalex.org/F4320337357","funder_display_name":"National Institute of Diabetes and Digestive and Kidney Diseases"},{"id":"https://openalex.org/G8716039179","display_name":null,"funder_award_id":"K01DK110136","funder_id":"https://openalex.org/F4320337357","funder_display_name":"National Institute of Diabetes and Digestive and Kidney Diseases"}],"funders":[{"id":"https://openalex.org/F4320337357","display_name":"National Institute of Diabetes and Digestive and Kidney Diseases","ror":"https://ror.org/00adh9b73"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4327700871.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W116922145","https://openalex.org/W317170363","https://openalex.org/W1901129140","https://openalex.org/W1909740415","https://openalex.org/W2066604995","https://openalex.org/W2086129324","https://openalex.org/W2097096070","https://openalex.org/W2127890285","https://openalex.org/W2301358467","https://openalex.org/W2528174691","https://openalex.org/W2592929672","https://openalex.org/W2889615630","https://openalex.org/W2910094941","https://openalex.org/W2953536790","https://openalex.org/W2963251401","https://openalex.org/W2963496369","https://openalex.org/W3014974815","https://openalex.org/W3046015102","https://openalex.org/W3086493976","https://openalex.org/W3087416526","https://openalex.org/W3105950366","https://openalex.org/W3112701542","https://openalex.org/W3136950867","https://openalex.org/W3183302989","https://openalex.org/W3195019503","https://openalex.org/W3208558246","https://openalex.org/W4210435918","https://openalex.org/W6758047254"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W3021239166","https://openalex.org/W4366341510","https://openalex.org/W2390936256","https://openalex.org/W3207796226","https://openalex.org/W3110793907","https://openalex.org/W4318718858","https://openalex.org/W2899033955","https://openalex.org/W4295915146","https://openalex.org/W4285326009"],"abstract_inverted_index":{"The":[0,245],"aim":[1],"of":[2,10,33,52,94,106,130,141,149,168,216,236],"this":[3],"study":[4],"is":[5],"to":[6,14,63,90,102,109,145,183,212,240],"investigate":[7],"the":[8,16,23,84,92,104,139,147,185,188,191,234],"use":[9],"an":[11,67],"exponential-plateau":[12],"model":[13,96,110,124,230,267],"determine":[15,254],"required":[17,239],"training":[18,237],"dataset":[19,86,107],"size":[20,108],"that":[21,223],"yields":[22],"maximum":[24],"medical":[25],"image":[26],"segmentation":[27],"performance.":[28,112,268],"CT":[29,119,156],"and":[30,41,58,120,134,151,157,172,178,199,206,218,229],"MR":[31,121,158],"images":[32,60,143,181,238,261],"patients":[34],"with":[35,66,138,176,210],"renal":[36],"tumors":[37],"acquired":[38],"between":[39],"1997":[40],"2017":[42],"were":[43,61,100,202],"retrospectively":[44],"collected":[45],"from":[46],"our":[47,123],"nephrectomy":[48],"registry.":[49],"Modality-based":[50],"datasets":[51],"50,":[53],"100,":[54],"150,":[55],"200,":[56],"250,":[57],"300":[59],"assembled":[62],"train":[64],"models":[65,99],"80-20":[68],"training-validation":[69,142,180,260],"split":[70],"evaluated":[71],"against":[72],"50":[73],"randomly":[74],"held":[75],"out":[76],"test":[77,126,164],"set":[78],"images.":[79],"A":[80],"third":[81],"experiment":[82],"using":[83],"KiTS21":[85,189],"was":[87],"also":[88],"used":[89,101],"explore":[91],"effects":[93],"different":[95],"architectures.":[97],"Exponential-plateau":[98],"establish":[103],"relationship":[105],"generalizability":[111],"For":[113,154,187],"segmenting":[114,155],"non-neoplastic":[115],"kidney":[116],"regions":[117],"on":[118],"imaging,":[122],"yielded":[125],"Dice":[127,165,193],"score":[128,166,194],"plateaus":[129,148,195],"[Formula:":[131,135,169,173,203,207],"see":[132,136,170,174,204,208],"text]":[133,137,171,205,209],"number":[140,211],"needed":[144,182],"reach":[146,184,213,241],"54":[150],"122,":[152],"respectively.":[153],"tumor":[159],"regions,":[160],"we":[161,248],"modeled":[162],"a":[163,242],"plateau":[167,215],"text],":[175],"125":[177],"389":[179],"plateaus.":[186],"dataset,":[190],"best":[192],"for":[196,255],"nn-UNet":[197],"2D":[198],"3D":[200],"architectures":[201,231],"performance":[214,243],"177":[217],"440.":[219],"Our":[220],"research":[221],"validates":[222],"differing":[224],"imaging":[225],"modalities,":[226],"target":[227],"structures,":[228],"all":[232],"affect":[233],"amount":[235],"plateau.":[244],"modeling":[246],"approach":[247],"developed":[249],"will":[250,262],"help":[251],"future":[252],"researchers":[253],"their":[256],"experiments":[257],"when":[258],"additional":[259],"likely":[263],"not":[264],"further":[265],"improve":[266]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}