{"id":"https://openalex.org/W3080325267","doi":"https://doi.org/10.1007/978-3-030-72087-2_19","title":"3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction","display_name":"3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3080325267","doi":"https://doi.org/10.1007/978-3-030-72087-2_19","mag":"3080325267"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-72087-2_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-72087-2_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.11576","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112624602","display_name":"Rupal Agravat","orcid":null},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rupal R. Agravat","raw_affiliation_strings":["Ahmedabad University, Ahmedabad, Gujarat, India","[Ahmedabad University, Ahmedabad, India]"],"raw_orcid":"https://orcid.org/0000-0003-1995-4149","affiliations":[{"raw_affiliation_string":"Ahmedabad University, Ahmedabad, Gujarat, India","institution_ids":["https://openalex.org/I52527943"]},{"raw_affiliation_string":"[Ahmedabad University, Ahmedabad, India]","institution_ids":["https://openalex.org/I52527943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071626652","display_name":"Mehul S. Raval","orcid":"https://orcid.org/0000-0002-3895-1448"},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mehul S. Raval","raw_affiliation_strings":["Ahmedabad University, Ahmedabad, Gujarat, India","[Ahmedabad University, Ahmedabad, India]"],"raw_orcid":"https://orcid.org/0000-0002-3895-1448","affiliations":[{"raw_affiliation_string":"Ahmedabad University, Ahmedabad, Gujarat, India","institution_ids":["https://openalex.org/I52527943"]},{"raw_affiliation_string":"[Ahmedabad University, Ahmedabad, India]","institution_ids":["https://openalex.org/I52527943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.7558,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8579648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"215","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9986000061035156,"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":0.7270568013191223},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7089370489120483},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.7023751735687256},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.66339510679245},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6455531716346741},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6403547525405884},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5787323117256165},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5356687307357788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5258529782295227},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.503659188747406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43946120142936707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11361724138259888},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08548039197921753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7270568013191223},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7089370489120483},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.7023751735687256},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.66339510679245},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6455531716346741},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6403547525405884},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5787323117256165},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5356687307357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5258529782295227},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.503659188747406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43946120142936707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11361724138259888},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08548039197921753},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/978-3-030-72087-2_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-72087-2_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2008.11576","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.11576","pdf_url":"https://arxiv.org/pdf/2008.11576","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":"","raw_type":"text"},{"id":"mag:3080325267","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2008.11576v2","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2008.11576","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2008.11576","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.13140/rg.2.2.35812.60803","is_oa":true,"landing_page_url":"https://doi.org/10.13140/rg.2.2.35812.60803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.11576","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.11576","pdf_url":"https://arxiv.org/pdf/2008.11576","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":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W324135019","https://openalex.org/W1563795667","https://openalex.org/W1641498739","https://openalex.org/W1901129140","https://openalex.org/W2114391357","https://openalex.org/W2194775991","https://openalex.org/W2301358467","https://openalex.org/W2751069891","https://openalex.org/W2767128594","https://openalex.org/W2792665102","https://openalex.org/W2900298334","https://openalex.org/W2962914239","https://openalex.org/W2963351448","https://openalex.org/W2963881378","https://openalex.org/W2990628589","https://openalex.org/W2995638547","https://openalex.org/W3014512070","https://openalex.org/W3026750579","https://openalex.org/W3027226891","https://openalex.org/W3027439008","https://openalex.org/W3027703155","https://openalex.org/W3028210663","https://openalex.org/W3028279406","https://openalex.org/W3028456101","https://openalex.org/W3028467215","https://openalex.org/W3029965401","https://openalex.org/W3032167926","https://openalex.org/W6828894009","https://openalex.org/W6959011136","https://openalex.org/W6959738644"],"related_works":["https://openalex.org/W3144727859","https://openalex.org/W3027166080","https://openalex.org/W2974108547","https://openalex.org/W2751909359","https://openalex.org/W3028537938","https://openalex.org/W3151900447","https://openalex.org/W3146732633","https://openalex.org/W3106049394","https://openalex.org/W2912757939","https://openalex.org/W3199233383","https://openalex.org/W2942777598","https://openalex.org/W3030882797","https://openalex.org/W3008111068","https://openalex.org/W3026236976","https://openalex.org/W3026902703","https://openalex.org/W2914493539","https://openalex.org/W3151598659","https://openalex.org/W3183848516","https://openalex.org/W3132971323","https://openalex.org/W2788843631"],"abstract_inverted_index":{"Glioma,":[0],"a":[1,61,68],"malignant":[2],"brain":[3],"tumor,":[4,29,31,130,135],"requires":[5],"immediate":[6],"treatment":[7],"to":[8],"improve":[9],"the":[10,20,58,76,128,153,177],"survival":[11,165],"of":[12,17,45,60,172],"patients.":[13],"The":[14,55,72,83,100,110,137,147,167],"heterogeneous":[15],"nature":[16],"Glioma":[18,53],"makes":[19],"segmentation":[21],"difficult,":[22],"especially":[23],"for":[24,52,114,127,163],"sub-regions":[25],"like":[26,37],"necrosis,":[27],"enhancing":[28,134],"non-enhancing":[30],"and":[32,42,95,106,116,123,133,156,174,179],"edema.":[33],"Deep":[34],"neural":[35,40,48,65],"networks":[36,41,49],"full":[38],"convolution":[39,47,64],"an":[43,170],"ensemble":[44,145],"fully":[46,63],"are":[50],"successful":[51],"segmentation.":[54],"paper":[56],"demonstrates":[57],"use":[59],"3D":[62,86],"network":[66,84,138],"with":[67,142],"three-layer":[69],"encoder-decoder":[70],"approach.":[71],"dense":[73],"connections":[74],"within":[75],"layer":[77],"help":[78],"in":[79],"diversified":[80],"feature":[81],"learning.":[82],"takes":[85],"patches":[87],"from":[88,160],"$$T_{1}$$":[89],",":[90,92,94],"$$T_{2}$$":[91],"$$T_{1}c$$":[93],"FLAIR":[96],"modalities":[97],"as":[98],"input.":[99],"loss":[101,105,108],"function":[102],"combines":[103],"dice":[104],"focal":[107],"functions.":[109],"Dice":[111],"similarity":[112],"coefficient":[113],"training":[115,178],"validation":[117,180],"set":[118],"is":[119],"0.88,":[120],"0.83,":[121],"0.78":[122],"0.87,":[124],"0.75,":[125],"0.76":[126],"whole":[129],"tumor":[131],"core":[132],"respectively.":[136],"achieves":[139,169],"comparable":[140],"performance":[141],"other":[143],"state-of-the-art":[144],"approaches.":[146],"random":[148],"forest":[149],"regressor":[150,168],"trains":[151],"on":[152,176],"shape,":[154],"volumetric,":[155],"age":[157],"features":[158],"extracted":[159],"ground":[161],"truth":[162],"overall":[164],"prediction.":[166],"accuracy":[171],"56.8%":[173],"51.7%":[175],"sets.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}