{"id":"https://openalex.org/W4404102979","doi":"https://doi.org/10.1109/comm62355.2024.10741450","title":"A Deep Learning Approach for Semantic Segmentation of Images with Burned Skin","display_name":"A Deep Learning Approach for Semantic Segmentation of Images with Burned Skin","publication_year":2024,"publication_date":"2024-10-03","ids":{"openalex":"https://openalex.org/W4404102979","doi":"https://doi.org/10.1109/comm62355.2024.10741450"},"language":"en","primary_location":{"id":"doi:10.1109/comm62355.2024.10741450","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/comm62355.2024.10741450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Communications (COMM)","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/A5114539434","display_name":"Bianca Andrei","orcid":null},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Bianca Andrei","raw_affiliation_strings":["National University of Science and Technology Politehnica Bucharest,Image Processing and Analysis Laboratory,Bucharest,Romania"],"affiliations":[{"raw_affiliation_string":"National University of Science and Technology Politehnica Bucharest,Image Processing and Analysis Laboratory,Bucharest,Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090658521","display_name":"Laura Florea","orcid":"https://orcid.org/0000-0001-6095-9692"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Laura Florea","raw_affiliation_strings":["National University of Science and Technology Politehnica Bucharest,Image Processing and Analysis Laboratory,Bucharest,Romania"],"affiliations":[{"raw_affiliation_string":"National University of Science and Technology Politehnica Bucharest,Image Processing and Analysis Laboratory,Bucharest,Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114539434"],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17771084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10862","display_name":"AI in cancer detection","score":0.6175000071525574,"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":0.6175000071525574,"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":0.5462999939918518,"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.5098999738693237,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7918386459350586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7197715640068054},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6367835402488708},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5574989914894104},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5284057855606079},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5021376609802246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3447785973548889}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7918386459350586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7197715640068054},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6367835402488708},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5574989914894104},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5284057855606079},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5021376609802246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3447785973548889}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comm62355.2024.10741450","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/comm62355.2024.10741450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Communications (COMM)","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":18,"referenced_works":["https://openalex.org/W1495743626","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1997856050","https://openalex.org/W2038569144","https://openalex.org/W2061604583","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2794915491","https://openalex.org/W2925489996","https://openalex.org/W2949769644","https://openalex.org/W3012221628","https://openalex.org/W3023447964","https://openalex.org/W3107383999","https://openalex.org/W3167940764","https://openalex.org/W4401725766","https://openalex.org/W6637373629","https://openalex.org/W6745159089"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W4379231730","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Burns":[0],"pose":[1],"a":[2],"significant":[3],"risk":[4],"for":[5,25,69,84,126],"human":[6],"life":[7],"with":[8,88],"high":[9],"morbidity":[10],"and":[11,21,28,133,138,141,155],"mortality.":[12],"Accurate":[13],"diagnosis,":[14],"which":[15],"includes":[16],"assessment":[17],"of":[18,61,120,153],"burn":[19,85,136],"area":[20],"depth,":[22],"is":[23,54],"crucial":[24],"effective":[26],"treatment":[27],"can":[29,42,48],"sometimes":[30],"be":[31,43],"lifesaving.":[32],"However,":[33],"in":[34,81,94,111,129,157],"some":[35],"cases,":[36],"access":[37],"to":[38],"specialized":[39,110],"medical":[40,63,89],"personnel":[41],"difficult.":[44],"Furthermore,":[45],"the":[46,59,62,104,121,135,143,151,161],"wounds":[47],"change":[49],"rapidly,":[50],"so":[51],"precise":[52],"diagnosis":[53],"required":[55],"fast.":[56],"To":[57],"ease":[58],"load":[60],"personnel,":[64,90],"automatic":[65],"tools":[66],"are":[67],"searched":[68],"by":[70,108],"researchers.":[71],"We":[72,149],"propose":[73],"using":[74],"deep":[75,123],"learning":[76,83,124],"approaches":[77],"that":[78,145],"recently":[79],"emerged":[80],"machine":[82],"diagnosis-aid.":[86],"Together":[87],"we":[91,117],"acquired":[92,162],"images":[93,105,116],"situ":[95],"from":[96],"\"Grigore":[97],"Alexandrescu\"":[98],"Children\u2019s":[99],"Hospital,":[100],"Bucharest,":[101],"Romania.":[102],"Afterwards":[103],"were":[106],"annotated":[107],"surgeons":[109],"skin":[112],"burns.":[113],"On":[114],"these":[115,158],"test":[118],"state":[119],"art":[122],"techniques":[125],"semantic":[127],"segmentation":[128],"different":[130],"scenarios:":[131],"localizing":[132,140],"classifying":[134,142],"depth":[137],"respectively":[139],"areas":[144],"might":[146],"require":[147],"surgery.":[148],"compare":[150],"results":[152],"DeepLabV3":[154],"U-Net":[156],"scenarios":[159],"on":[160],"dataset.":[163]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}