{"id":"https://openalex.org/W2979343283","doi":"https://doi.org/10.1109/ccece.2019.8861848","title":"Skin Lesion Segmentation Based on Improved U-net","display_name":"Skin Lesion Segmentation Based on Improved U-net","publication_year":2019,"publication_date":"2019-05-05","ids":{"openalex":"https://openalex.org/W2979343283","doi":"https://doi.org/10.1109/ccece.2019.8861848","mag":"2979343283"},"language":"en","primary_location":{"id":"doi:10.1109/ccece.2019.8861848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2019.8861848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","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/A5100329791","display_name":"Lina Liu","orcid":"https://orcid.org/0000-0001-6957-0114"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lina Liu","raw_affiliation_strings":["University of Alberta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024379450","display_name":"Lichao Mou","orcid":"https://orcid.org/0000-0001-8407-6413"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lichao Mou","raw_affiliation_strings":["German Aerospace Center, Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Aerospace Center, Technical University of Munich","institution_ids":["https://openalex.org/I2898391981","https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068384981","display_name":"Xiao Xiang Zhu","orcid":"https://orcid.org/0000-0001-5530-3613"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiao Xiang Zhu","raw_affiliation_strings":["German Aerospace Center, Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Aerospace Center, Technical University of Munich","institution_ids":["https://openalex.org/I2898391981","https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101417879","display_name":"Mrinal Mandal","orcid":"https://orcid.org/0000-0002-0680-5876"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mrinal Mandal","raw_affiliation_strings":["University of Alberta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9876999855041504,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9592999815940857,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8441978693008423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7604628801345825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7572921514511108},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6964912414550781},{"id":"https://openalex.org/keywords/skin-cancer","display_name":"Skin cancer","score":0.6676377058029175},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.50905841588974},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.484176903963089},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.478086918592453},{"id":"https://openalex.org/keywords/melanoma","display_name":"Melanoma","score":0.47386860847473145},{"id":"https://openalex.org/keywords/skin-lesion","display_name":"Skin lesion","score":0.45090264081954956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4319690763950348},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3230828642845154},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.17796051502227783},{"id":"https://openalex.org/keywords/dermatology","display_name":"Dermatology","score":0.1261291801929474},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12387102842330933},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05468669533729553},{"id":"https://openalex.org/keywords/cancer-research","display_name":"Cancer research","score":0.05137893557548523}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8441978693008423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7604628801345825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7572921514511108},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6964912414550781},{"id":"https://openalex.org/C2777789703","wikidata":"https://www.wikidata.org/wiki/Q192102","display_name":"Skin cancer","level":3,"score":0.6676377058029175},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.50905841588974},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.484176903963089},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.478086918592453},{"id":"https://openalex.org/C2777658100","wikidata":"https://www.wikidata.org/wiki/Q180614","display_name":"Melanoma","level":2,"score":0.47386860847473145},{"id":"https://openalex.org/C2988168687","wikidata":"https://www.wikidata.org/wiki/Q949302","display_name":"Skin lesion","level":2,"score":0.45090264081954956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4319690763950348},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3230828642845154},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.17796051502227783},{"id":"https://openalex.org/C16005928","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatology","level":1,"score":0.1261291801929474},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12387102842330933},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05468669533729553},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.05137893557548523},{"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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece.2019.8861848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2019.8861848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W211136101","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W2015475217","https://openalex.org/W2063831403","https://openalex.org/W2073129260","https://openalex.org/W2567013072","https://openalex.org/W2592678484","https://openalex.org/W2594873583","https://openalex.org/W2609625738","https://openalex.org/W2911188335","https://openalex.org/W2949117887","https://openalex.org/W2963840672","https://openalex.org/W2963881378","https://openalex.org/W2963946669","https://openalex.org/W4301462804","https://openalex.org/W6638667902","https://openalex.org/W6639780620","https://openalex.org/W6639824700","https://openalex.org/W6696085341","https://openalex.org/W6734090377","https://openalex.org/W6734824979","https://openalex.org/W6929215198"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W4323355870","https://openalex.org/W3165493969","https://openalex.org/W3185137224","https://openalex.org/W4285093889","https://openalex.org/W4379260075","https://openalex.org/W4285104889","https://openalex.org/W4360585222","https://openalex.org/W4253592280","https://openalex.org/W4245346948"],"abstract_inverted_index":{"Melanoma":[0],"is":[1,36,82,118],"one":[2],"of":[3,14,21,34,45],"the":[4,29,69,93,147,157],"most":[5],"common":[6],"and":[7,39,55,73],"dangerous":[8],"skin":[9,18,77,136,165],"cancers,":[10],"accounting":[11],"for":[12,42,62,87,125],"75%":[13],"deaths":[15],"associated":[16],"with":[17],"cancer.":[19],"Detection":[20],"melanoma":[22,35,80,153],"in":[23],"early":[24],"stages":[25],"can":[26,160],"significantly":[27],"improve":[28],"survival":[30],"rate.":[31],"Automatic":[32],"segmentation":[33,53,81,138,167],"an":[37,109,134],"important":[38],"essential":[40],"step":[41],"accurate":[43],"detection":[44,154],"melanoma.":[46],"Many":[47],"existing":[48,88],"works":[49],"based":[50,139],"on":[51,140,146,164],"traditional":[52],"methods":[54,58,96],"deep":[56,94,122],"learning":[57,95,123],"have":[59,97],"been":[60],"proposed":[61,158],"high-resolution":[63],"dermoscopy":[64],"images.":[65],"However,":[66],"due":[67,102],"to":[68,103],"intrinsic":[70],"visual":[71],"complexity":[72],"ambiguity":[74],"among":[75],"different":[76],"conditions,":[78],"automatic":[79],"still":[83],"a":[84,119],"challenging":[85],"task":[86],"methods.":[89],"Among":[90],"these":[91],"methods,":[92],"obtained":[98],"more":[99],"attention":[100],"recently":[101],"its":[104],"high":[105],"performance":[106,163],"by":[107],"training":[108],"end-to-end":[110],"framework,":[111],"which":[112],"needs":[113],"no":[114],"human":[115],"interaction.":[116],"U-net":[117,142],"very":[120],"popular":[121],"model":[124],"medical":[126],"image":[127],"segmentation.":[128],"In":[129],"this":[130],"paper,":[131],"we":[132],"propose":[133],"efficient":[135],"lesion":[137,166],"improved":[141],"model.":[143],"Experiments":[144],"conducted":[145],"2017":[148],"ISIC":[149],"Challenge":[150],"dataset":[151],"towards":[152],"shows":[155],"that":[156],"method":[159],"obtain":[161],"state-of-the-art":[162],"task.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
