{"id":"https://openalex.org/W2806879006","doi":"https://doi.org/10.1109/isbi.2018.8363769","title":"A multi-task framework with feature passing module for skin lesion classification and segmentation","display_name":"A multi-task framework with feature passing module for skin lesion classification and segmentation","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2806879006","doi":"https://doi.org/10.1109/isbi.2018.8363769","mag":"2806879006"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100320967","display_name":"Sheng Chen","orcid":"https://orcid.org/0000-0001-5716-4442"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Chen","raw_affiliation_strings":["CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407596","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0002-0597-4475"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]},{"id":"https://openalex.org/I4402554026","display_name":"The Sense Innovation and Research Center","ror":"https://ror.org/01eas9a07","country_code":"CH","type":"facility","lineage":["https://openalex.org/I4402554026"]}],"countries":["CH","CN"],"is_corresponding":false,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["Sense Time Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sense Time Group","institution_ids":["https://openalex.org/I4210128910","https://openalex.org/I4402554026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103125510","display_name":"Jianping Shi","orcid":"https://orcid.org/0000-0003-3257-8272"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]},{"id":"https://openalex.org/I4402554026","display_name":"The Sense Innovation and Research Center","ror":"https://ror.org/01eas9a07","country_code":"CH","type":"facility","lineage":["https://openalex.org/I4402554026"]}],"countries":["CH","CN"],"is_corresponding":false,"raw_author_name":"Jianping Shi","raw_affiliation_strings":["Sense Time Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sense Time Group","institution_ids":["https://openalex.org/I4210128910","https://openalex.org/I4402554026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395493","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0002-3977-8800"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064573190","display_name":"Nenghai Yu","orcid":"https://orcid.org/0000-0003-4417-9316"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nenghai Yu","raw_affiliation_strings":["CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.8289,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.97805213,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1126","last_page":"1129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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":0.975600004196167,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9735999703407288,"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":0.8207216262817383},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7944748401641846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6821351051330566},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6634937524795532},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6603260040283203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6339776515960693},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.593876838684082},{"id":"https://openalex.org/keywords/skin-lesion","display_name":"Skin lesion","score":0.5669401288032532},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.523956298828125},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44147852063179016},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05822688341140747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8207216262817383},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7944748401641846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6821351051330566},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6634937524795532},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6603260040283203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6339776515960693},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.593876838684082},{"id":"https://openalex.org/C2988168687","wikidata":"https://www.wikidata.org/wiki/Q949302","display_name":"Skin lesion","level":2,"score":0.5669401288032532},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.523956298828125},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44147852063179016},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05822688341140747},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2018.8363769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W2104657103","https://openalex.org/W2412782625","https://openalex.org/W2530966705","https://openalex.org/W2564782580","https://openalex.org/W2594652617","https://openalex.org/W2607363228","https://openalex.org/W2963946669","https://openalex.org/W3105311500"],"related_works":["https://openalex.org/W2592236122","https://openalex.org/W3185137224","https://openalex.org/W3194017912","https://openalex.org/W3040904734","https://openalex.org/W3040791291","https://openalex.org/W3191247405","https://openalex.org/W2933370232","https://openalex.org/W4313280066","https://openalex.org/W3210322085","https://openalex.org/W2948399186"],"abstract_inverted_index":{"Skin":[0],"lesion":[1,35],"classification":[2,36,71],"and":[3,37,50,70,81,103,110,131,138,149],"segmentation":[4,38,68],"are":[5,90,101],"highly":[6],"correlated":[7],"tasks.":[8,120],"However,":[9],"their":[10],"relationship":[11],"is":[12,77],"not":[13,78],"fully":[14],"utilized":[15],"in":[16],"previous":[17],"methods.":[18,152],"In":[19],"this":[20],"paper,":[21],"we":[22,58],"propose":[23],"a":[24,60],"multi-task":[25],"deep":[26],"convolutional":[27],"neural":[28],"network":[29],"architecture":[30],"to":[31,64,106,145],"solve":[32],"the":[33,56,107,116,124,132,136,141],"skin":[34],"problem":[39],"simultaneously.":[40],"To":[41],"take":[42],"full":[43],"advantage":[44],"of":[45,118,140],"features":[46,97],"from":[47,98],"different":[48],"tasks":[49],"thus":[51],"get":[52],"richer":[53],"knowledge":[54],"about":[55],"sample,":[57],"design":[59],"feature":[61,74],"passing":[62,75],"module":[63,76],"pass":[65],"messages":[66,94],"between":[67],"branch":[69],"branch.":[72],"Since":[73],"always":[79],"helpful":[80],"can":[82],"be":[83],"related":[84],"with":[85],"individual":[86],"samples,":[87],"gate":[88],"functions":[89],"used":[91],"for":[92],"controlling":[93],"transmission.":[95],"Therefore,":[96],"one":[99],"task":[100],"learned":[102],"selectively":[104],"passed":[105],"other":[108,150],"task,":[109],"vice":[111],"versa,":[112],"which":[113],"effectively":[114],"improves":[115],"performance":[117],"both":[119],"We":[121],"have":[122],"evaluated":[123],"proposed":[125,142],"method":[126],"on":[127],"ISBI-2017":[128],"challenge":[129],"dataset,":[130],"experimental":[133],"results":[134],"demonstrate":[135],"superiority":[137],"effectiveness":[139],"method,":[143],"compared":[144],"our":[146],"base":[147],"model":[148],"state-of-art":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}