{"id":"https://openalex.org/W4200379725","doi":"https://doi.org/10.1109/iscc53001.2021.9631444","title":"Tumor Segmentation in Breast DCE- MRI Slice Using Deep Learning Methods","display_name":"Tumor Segmentation in Breast DCE- MRI Slice Using Deep Learning Methods","publication_year":2021,"publication_date":"2021-09-05","ids":{"openalex":"https://openalex.org/W4200379725","doi":"https://doi.org/10.1109/iscc53001.2021.9631444"},"language":"en","primary_location":{"id":"doi:10.1109/iscc53001.2021.9631444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc53001.2021.9631444","pdf_url":null,"source":{"id":"https://openalex.org/S4363605778","display_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075156079","display_name":"Edson Damasceno Carvalho","orcid":"https://orcid.org/0000-0002-2103-6518"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Edson Damasceno Carvalho","raw_affiliation_strings":["Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028793428","display_name":"Romuere Silva","orcid":"https://orcid.org/0000-0002-7163-7469"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Romuere Rodrigues Veloso Silva","raw_affiliation_strings":["Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil","Information Systems, Federal University of Piau\u00ed, Picos, Brazil"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil","institution_ids":["https://openalex.org/I3121799822"]},{"raw_affiliation_string":"Information Systems, Federal University of Piau\u00ed, Picos, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000420932","display_name":"Mano Joseph Mathew","orcid":"https://orcid.org/0000-0002-4930-6903"},"institutions":[{"id":"https://openalex.org/I2801479458","display_name":"Engineering School of Information and Digital Technologies","ror":"https://ror.org/01h7hvj14","country_code":"FR","type":"education","lineage":["https://openalex.org/I117841876","https://openalex.org/I2801479458"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mano Joseph Mathew","raw_affiliation_strings":["\u00c9cole d'ing\u00e9nieur g\u00e9n\u00e9raliste en informatique et technologies du num\u00e9rique, Paris, France"],"affiliations":[{"raw_affiliation_string":"\u00c9cole d'ing\u00e9nieur g\u00e9n\u00e9raliste en informatique et technologies du num\u00e9rique, Paris, France","institution_ids":["https://openalex.org/I2801479458"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072240451","display_name":"Fl\u00e1vio H. D. Ara\u00fajo","orcid":"https://orcid.org/0000-0003-2824-2645"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Flavio Henrique Duarte Araujo","raw_affiliation_strings":["Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil","Information Systems, Federal University of Piau\u00ed, Picos, Brazil"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil","institution_ids":["https://openalex.org/I3121799822"]},{"raw_affiliation_string":"Information Systems, Federal University of Piau\u00ed, Picos, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001742603","display_name":"Ant\u00f4nio Oseas de Carvalho Filho","orcid":"https://orcid.org/0000-0001-9241-1277"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Antonio Oseas De Carvalho Filho","raw_affiliation_strings":["Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil","Information Systems, Federal University of Piau\u00ed, Picos, Brazil"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Federal University of Piau\u00ed, Teresina, Brazil","institution_ids":["https://openalex.org/I3121799822"]},{"raw_affiliation_string":"Information Systems, Federal University of Piau\u00ed, Picos, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075156079"],"corresponding_institution_ids":["https://openalex.org/I3121799822"],"apc_list":null,"apc_paid":null,"fwci":3.0213,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92401216,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T10862","display_name":"AI in cancer detection","score":0.9991999864578247,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.996999979019165,"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/segmentation","display_name":"Segmentation","score":0.841497540473938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7363237738609314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6806665658950806},{"id":"https://openalex.org/keywords/breast-mri","display_name":"Breast MRI","score":0.6417251825332642},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5734787583351135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5002298355102539},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4992666244506836},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.474629282951355},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4462340474128723},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42478618025779724},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37257879972457886},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.3347247242927551},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.20931920409202576},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1389492154121399}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.841497540473938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7363237738609314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6806665658950806},{"id":"https://openalex.org/C2777111374","wikidata":"https://www.wikidata.org/wiki/Q4959770","display_name":"Breast MRI","level":5,"score":0.6417251825332642},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5734787583351135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5002298355102539},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4992666244506836},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.474629282951355},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4462340474128723},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42478618025779724},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37257879972457886},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.3347247242927551},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.20931920409202576},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1389492154121399},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscc53001.2021.9631444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc53001.2021.9631444","pdf_url":null,"source":{"id":"https://openalex.org/S4363605778","display_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04013928v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04013928","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2021 IEEE Symposium on Computers and Communications (ISCC), Sep 2021, Athens, Greece. pp.1-6, ⟨10.1109/ISCC53001.2021.9631444⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G5033909567","display_name":null,"funder_award_id":"88887.585938/2020-00","funder_id":"https://openalex.org/F4320322989","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado do Piau\u00ed"},{"id":"https://openalex.org/G5483282566","display_name":null,"funder_award_id":"435244/2018-3","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322989","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado do Piau\u00ed","ror":"https://ror.org/026zht694"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W635106865","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2032558189","https://openalex.org/W2086749537","https://openalex.org/W2091320739","https://openalex.org/W2100065311","https://openalex.org/W2156387975","https://openalex.org/W2294567968","https://openalex.org/W2914434038","https://openalex.org/W2920928473","https://openalex.org/W2943835639","https://openalex.org/W2953992968","https://openalex.org/W2963881378","https://openalex.org/W2965750914","https://openalex.org/W2998024136","https://openalex.org/W3033039186","https://openalex.org/W3094475019","https://openalex.org/W3160804423","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6671834556","https://openalex.org/W6682889407","https://openalex.org/W6696879442"],"related_works":["https://openalex.org/W986318368","https://openalex.org/W2000785801","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2990194547","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W1480123525","https://openalex.org/W2620865396","https://openalex.org/W2965062616"],"abstract_inverted_index":{"Precise":[0],"tumor":[1,37,78],"segmentation":[2,17,38,79,116],"on":[3,46],"DCE-MRI":[4,40,50],"images":[5,59],"is":[6],"critical":[7],"for":[8,35,65,77],"the":[9,22,47,112,120,128],"diagnosis":[10],"and":[11,74,107],"treatment":[12],"of":[13,58,105,109,127],"breast":[14,28,36,129],"cancer.":[15],"Automatic":[16],"methods":[18],"help":[19],"specialists":[20],"reduce":[21],"heavy":[23],"manual":[24],"workload":[25],"in":[26,39,80],"analyzing":[27],"lesions.":[29],"This":[30],"article":[31],"presents":[32],"a":[33,88,103,123],"methodology":[34,98],"images.":[41],"Our":[42],"tests":[43],"are":[44],"performed":[45],"QIN":[48],"Breast":[49],"set,":[51],"which":[52],"has":[53],"20":[54],"exams.":[55],"The":[56,96,115],"set":[57],"was":[60],"converted":[61],"into":[62],"2D":[63],"slices":[64],"data":[66],"augmentation,":[67],"making":[68],"2416":[69],"slices.":[70,83],"Then,":[71],"trained":[72],"UNet":[73],"SegNet":[75,113],"architectures":[76],"DCE-":[81],"MRI":[82],"After":[84],"segmentation,":[85],"we":[86],"apply":[87],"false":[89],"positive":[90],"reduction":[91],"step":[92],"using":[93,111],"morphological":[94],"operations.":[95],"proposed":[97],"showed":[99],"promising":[100],"results,":[101],"with":[102,122],"dice":[104],"97.55%":[106],"IoU":[108],"95.30%":[110],"architecture.":[114],"obtained":[117],"can":[118],"provide":[119],"specialist":[121],"more":[124],"detailed":[125],"analysis":[126],"tumor.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}