{"id":"https://openalex.org/W4392248746","doi":"https://doi.org/10.1109/icce59016.2024.10444471","title":"Autonomous Diagnosis System of Breast Cancer","display_name":"Autonomous Diagnosis System of Breast Cancer","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4392248746","doi":"https://doi.org/10.1109/icce59016.2024.10444471"},"language":"en","primary_location":{"id":"doi:10.1109/icce59016.2024.10444471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce59016.2024.10444471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","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/A5101310733","display_name":"Minjun Son","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Minjun Son","raw_affiliation_strings":["Dong Seoul University,ADLab, MODULABS,Republic of Korea","ADLab, MODULABS, Dong Seoul University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Dong Seoul University,ADLab, MODULABS,Republic of Korea","institution_ids":[]},{"raw_affiliation_string":"ADLab, MODULABS, Dong Seoul University, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113129557","display_name":"Woomin Jun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Woomin Jun","raw_affiliation_strings":["Dong Seoul University,ADLab, MODULABS,Republic of Korea","ADLab, MODULABS, Dong Seoul University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Dong Seoul University,ADLab, MODULABS,Republic of Korea","institution_ids":[]},{"raw_affiliation_string":"ADLab, MODULABS, Dong Seoul University, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100720086","display_name":"Sung\u2010Jin Lee","orcid":"https://orcid.org/0000-0001-9348-8356"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sungjin Lee","raw_affiliation_strings":["Dong Seoul University,ADLab, MODULABS,Republic of Korea","ADLab, MODULABS, Dong Seoul University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Dong Seoul University,ADLab, MODULABS,Republic of Korea","institution_ids":[]},{"raw_affiliation_string":"ADLab, MODULABS, Dong Seoul University, Republic of Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101310733"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61321555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10862","display_name":"AI in cancer detection","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9988999962806702,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9975000023841858,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9948999881744385,"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/breast-cancer","display_name":"Breast cancer","score":0.6320958733558655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5321976542472839},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.43734118342399597},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.28753507137298584},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.17146769165992737}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6320958733558655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5321976542472839},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.43734118342399597},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28753507137298584},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.17146769165992737}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce59016.2024.10444471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce59016.2024.10444471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1924111560","https://openalex.org/W2194775991","https://openalex.org/W2213612645","https://openalex.org/W2291020065","https://openalex.org/W2301358467","https://openalex.org/W2400264455","https://openalex.org/W2502390809","https://openalex.org/W2504150216","https://openalex.org/W2521732732","https://openalex.org/W2533853894","https://openalex.org/W2557738935","https://openalex.org/W2573123177","https://openalex.org/W2584038571","https://openalex.org/W2590636701","https://openalex.org/W2618530766","https://openalex.org/W2630837129","https://openalex.org/W2776937175","https://openalex.org/W2963446712","https://openalex.org/W2964629181","https://openalex.org/W2978707514","https://openalex.org/W2987143844","https://openalex.org/W2991372685","https://openalex.org/W2999580839","https://openalex.org/W3001157157","https://openalex.org/W3012974409","https://openalex.org/W3091780972","https://openalex.org/W3145444543","https://openalex.org/W3163373333","https://openalex.org/W3176886346","https://openalex.org/W3183338453","https://openalex.org/W3201055938","https://openalex.org/W3213325536","https://openalex.org/W4214669717","https://openalex.org/W4230512077","https://openalex.org/W4280510832","https://openalex.org/W4285590058","https://openalex.org/W6637373629","https://openalex.org/W6687483927","https://openalex.org/W6727219968","https://openalex.org/W6739696289"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0,130],"paper":[1],"focuses":[2],"on":[3],"a":[4,133],"study":[5,50],"of":[6,90,104,110,144],"medical":[7,58,138],"image":[8,31,44,82,117,124,139],"techniques":[9,35,74],"using":[10,72,84],"deep":[11,136],"learning,":[12],"specifically":[13],"addressing":[14],"methods":[15],"for":[16,57,75,87],"diagnosing":[17],"breast":[18,25,145],"cancer.":[19],"The":[20,67],"research":[21,68,131],"aims":[22],"to":[23,135],"enhance":[24],"cancer":[26,146],"classification":[27,32,45,83,125],"and":[28,33,39,46,53,92,122],"localization":[29],"through":[30],"segmentation":[34,47,89,108,118],"utilizing":[36],"mammography,":[37],"ultrasound,":[38],"histopathology":[40,123],"images.":[41],"Among":[42],"various":[43],"techniques,":[48,106],"the":[49,88,95,102,107,142],"selects":[51],"technology":[52],"loss":[54],"functions":[55],"optimized":[56],"imaging":[59],"characteristics,":[60],"along":[61],"with":[62],"proposing":[63],"data":[64,76],"augmentation":[65,77],"methods.":[66],"findings":[69],"demonstrate":[70],"that":[71],"filter-based":[73],"yields":[78],"excellent":[79],"performance":[80,109],"in":[81,141],"ResNet50.":[85],"Additionally,":[86],"mammography":[91,111],"ultrasound":[93,116],"images,":[94],"UNet":[96],"architecture":[97],"performs":[98],"exceptionally":[99],"well.":[100],"Through":[101],"application":[103],"these":[105],"images":[112],"improved":[113,119],"by":[114,120,128],"33.3%,":[115],"29.9%,":[121],"accuracy":[126],"increased":[127],"22.8%.":[129],"presents":[132],"contribution":[134],"learning-based":[137],"processing":[140],"context":[143],"diagnosis.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
