{"id":"https://openalex.org/W2978457402","doi":"https://doi.org/10.1186/s12880-020-00543-7","title":"MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning","display_name":"MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning","publication_year":2021,"publication_date":"2021-01-18","ids":{"openalex":"https://openalex.org/W2978457402","doi":"https://doi.org/10.1186/s12880-020-00543-7","mag":"2978457402","pmid":"https://pubmed.ncbi.nlm.nih.gov/33461500"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-020-00543-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-020-00543-7","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-020-00543-7","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-020-00543-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036358389","display_name":"Dominik M\u00fcller","orcid":"https://orcid.org/0000-0003-0838-9885"},"institutions":[{"id":"https://openalex.org/I119916105","display_name":"Augsburg University","ror":"https://ror.org/057ewhh68","country_code":"US","type":"education","lineage":["https://openalex.org/I119916105"]},{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE","US"],"is_corresponding":true,"raw_author_name":"Dominik M\u00fcller","raw_affiliation_strings":["IT-Infrastructure for Translational Medical Research, Faculty of Applied Computer Science, Faculty of Medicine, University of Augsburg, Augsburg, Germany. dominik.mueller@informatik.uni-augsburg.de","IT-Infrastructure for Translational Medical Research, Faculty of Applied Computer Science, Faculty of Medicine, University of Augsburg, Augsburg, Germany"],"raw_orcid":"https://orcid.org/0000-0003-0838-9885","affiliations":[{"raw_affiliation_string":"IT-Infrastructure for Translational Medical Research, Faculty of Applied Computer Science, Faculty of Medicine, University of Augsburg, Augsburg, Germany. dominik.mueller@informatik.uni-augsburg.de","institution_ids":["https://openalex.org/I179225836","https://openalex.org/I119916105"]},{"raw_affiliation_string":"IT-Infrastructure for Translational Medical Research, Faculty of Applied Computer Science, Faculty of Medicine, University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010964383","display_name":"Frank Kr\u00e4mer","orcid":"https://orcid.org/0000-0002-2857-7122"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Kramer","raw_affiliation_strings":["IT-Infrastructure for Translational Medical Research, Faculty of Applied Computer Science, Faculty of Medicine, University of Augsburg, Augsburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2857-7122","affiliations":[{"raw_affiliation_string":"IT-Infrastructure for Translational Medical Research, Faculty of Applied Computer Science, Faculty of Medicine, University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036358389"],"corresponding_institution_ids":["https://openalex.org/I119916105","https://openalex.org/I179225836"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":10.5711,"has_fulltext":true,"cited_by_count":137,"citation_normalized_percentile":{"value":0.98881428,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"21","issue":"1","first_page":"12","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5497000217437744,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5497000217437744,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.07349999994039536,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.037300001829862595,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8581110239028931},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7039788961410522},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6101395487785339},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.590305745601654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5644171237945557},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5356542468070984},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5170686841011047},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5148031115531921},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5086044073104858},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.48274463415145874},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4125105142593384},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34313470125198364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3217797875404358},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10606905817985535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8581110239028931},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7039788961410522},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6101395487785339},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.590305745601654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5644171237945557},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5356542468070984},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5170686841011047},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5148031115531921},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5086044073104858},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.48274463415145874},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4125105142593384},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34313470125198364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3217797875404358},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10606905817985535}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007680","descriptor_name":"Kidney Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007680","descriptor_name":"Kidney Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007680","descriptor_name":"Kidney Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012985","descriptor_name":"Software Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012985","descriptor_name":"Software Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012985","descriptor_name":"Software Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012986","descriptor_name":"Software Validation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012986","descriptor_name":"Software Validation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012986","descriptor_name":"Software Validation","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":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":8,"locations":[{"id":"doi:10.1186/s12880-020-00543-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-020-00543-7","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-020-00543-7","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:33461500","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33461500","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":"BMC medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:1910.09308","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.09308","pdf_url":"https://arxiv.org/pdf/1910.09308","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:b92348aa7c1b4658914e182f11d86568","is_oa":true,"landing_page_url":"https://doaj.org/article/b92348aa7c1b4658914e182f11d86568","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Imaging, Vol 21, Iss 1, Pp 1-11 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:6725004","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC7814713","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:frl.publisso.de:frl:6462907","is_oa":true,"landing_page_url":"https://repository.publisso.de/resource/frl:6462907","pdf_url":null,"source":{"id":"https://openalex.org/S4377196269","display_name":"PUBLISSO (German National Library of Medicine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210112663","host_organization_name":"ZB MED - Information Centre for Life Sciences","host_organization_lineage":["https://openalex.org/I4210112663"],"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":"http://lobid.org/resources/99370673924706441#!, 21(1):12","raw_type":"Zeitschriftenartikel"},{"id":"pmh:oai:pubmedcentral.nih.gov:7814713","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7814713","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"BMC Med Imaging","raw_type":"Text"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:83713","is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/83713","pdf_url":null,"source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"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":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12880-020-00543-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-020-00543-7","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-020-00543-7","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","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":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2032106304","display_name":null,"funder_award_id":"01ZZ1804E","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G751609732","display_name":null,"funder_award_id":"P6000","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"},{"id":"https://openalex.org/G81539058","display_name":null,"funder_award_id":"Quadro P6000","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2978457402.pdf","grobid_xml":"https://content.openalex.org/works/W2978457402.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2010587020","https://openalex.org/W2048183254","https://openalex.org/W2093921194","https://openalex.org/W2097138333","https://openalex.org/W2159037096","https://openalex.org/W2271840356","https://openalex.org/W2342591535","https://openalex.org/W2464708700","https://openalex.org/W2520016695","https://openalex.org/W2533800772","https://openalex.org/W2592929672","https://openalex.org/W2621042378","https://openalex.org/W2751909359","https://openalex.org/W2752517284","https://openalex.org/W2755930428","https://openalex.org/W2767623272","https://openalex.org/W2770233088","https://openalex.org/W2774320778","https://openalex.org/W2775795276","https://openalex.org/W2782757030","https://openalex.org/W2785809060","https://openalex.org/W2789644930","https://openalex.org/W2884436604","https://openalex.org/W2895926103","https://openalex.org/W2904580809","https://openalex.org/W2912989244","https://openalex.org/W2914363005","https://openalex.org/W2928133111","https://openalex.org/W2933796343","https://openalex.org/W2950132512","https://openalex.org/W2963052998","https://openalex.org/W2963459241","https://openalex.org/W2963563573","https://openalex.org/W2964098128","https://openalex.org/W2978442853","https://openalex.org/W3007550238","https://openalex.org/W3047713539","https://openalex.org/W3101294892","https://openalex.org/W3208968703","https://openalex.org/W6734494589"],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W1699080303","https://openalex.org/W4297799326","https://openalex.org/W3116064965","https://openalex.org/W4287027380","https://openalex.org/W2977327189","https://openalex.org/W2789551765","https://openalex.org/W4249277012"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,62,186],"increased":[2],"availability":[3],"and":[4,96,113],"usage":[5],"of":[6,33,64,75,184],"modern":[7],"medical":[8,16,34,76,174],"imaging":[9],"induced":[10],"a":[11,47,89,123,145,172,181],"strong":[12],"need":[13],"for":[14,30,189],"automatic":[15,106],"image":[17,21,35,77,175],"segmentation.":[18],"Still,":[19],"current":[20],"segmentation":[22,36,78,138,176],"platforms":[23],"do":[24],"not":[25],"provide":[26,68],"the":[27,56,128,150,163,194],"required":[28],"functionalities":[29],"plain":[31],"setup":[32],"pipelines.":[37],"Already":[38],"implemented":[39],"pipelines":[40,79],"are":[41],"commonly":[42],"standalone":[43],"software,":[44],"optimized":[45],"on":[46,127,149],"specific":[48],"public":[49],"data":[50,81,84,134],"set.":[51],"Therefore,":[52],"this":[53,157],"paper":[54],"introduces":[55],"open-source":[57],"Python":[58],"library":[59,90],"MIScnn.":[60],"IMPLEMENTATION:":[61],"aim":[63],"MIScnn":[65,126,164,190],"is":[66,191],"to":[67,168],"an":[69],"intuitive":[70],"API":[71],"allowing":[72],"fast":[73],"building":[74],"including":[80],"I/O,":[82],"preprocessing,":[83],"augmentation,":[85],"patch-wise":[86],"analysis,":[87],"metrics,":[88],"with":[91,125,139],"state-of-the-art":[92],"deep":[93],"learning":[94],"models":[95],"model":[97],"utilization":[98],"like":[99],"training,":[100],"prediction,":[101],"as":[102,104],"well":[103],"fully":[105],"evaluation":[107],"(e.g.":[108],"cross-validation).":[109],"Similarly,":[110],"high":[111],"configurability":[112],"multiple":[114],"open":[115],"interfaces":[116],"allow":[117],"full":[118],"pipeline":[119,177],"customization.":[120],"RESULTS:":[121],"Running":[122],"cross-validation":[124],"Kidney":[129],"Tumor":[130],"Segmentation":[131],"Challenge":[132],"2019":[133],"set":[135,170],"(multi-class":[136],"semantic":[137],"300":[140],"CT":[141],"scans)":[142],"resulted":[143],"into":[144],"powerful":[146],"predictor":[147],"based":[148],"standard":[151],"3D":[152],"U-Net":[153],"model.":[154],"CONCLUSIONS:":[155],"With":[156],"experiment,":[158],"we":[159],"could":[160],"show":[161],"that":[162],"framework":[165],"enables":[166],"researchers":[167],"rapidly":[169],"up":[171],"complete":[173],"by":[178],"using":[179],"just":[180],"few":[182],"lines":[183],"code.":[185],"source":[187],"code":[188],"available":[192],"in":[193],"Git":[195],"repository:":[196],"https://github.com/frankkramer-lab/MIScnn":[197],".":[198]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":37},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}