{"id":"https://openalex.org/W4409917697","doi":"https://doi.org/10.1109/ocit65031.2024.00081","title":"Directing Mutual Informative Active Learning Model to Perform Panoptic Segmentation in Lung Images","display_name":"Directing Mutual Informative Active Learning Model to Perform Panoptic Segmentation in Lung Images","publication_year":2024,"publication_date":"2024-12-12","ids":{"openalex":"https://openalex.org/W4409917697","doi":"https://doi.org/10.1109/ocit65031.2024.00081"},"language":"en","primary_location":{"id":"doi:10.1109/ocit65031.2024.00081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ocit65031.2024.00081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 OITS International Conference on Information Technology (OCIT)","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/A5045238033","display_name":"Kamalini Devi","orcid":"https://orcid.org/0000-0002-5916-3256"},"institutions":[{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Koppagiri. Jyothsna Devi","raw_affiliation_strings":["School of Computer Science and Engineering, VIT-AP University,Andhra Pradesh,India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, VIT-AP University,Andhra Pradesh,India","institution_ids":["https://openalex.org/I4401726783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089503233","display_name":"Gouranga Mandal","orcid":"https://orcid.org/0000-0002-7749-290X"},"institutions":[{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gouranga Mandal","raw_affiliation_strings":["School of Computer Science and Engineering, VIT-AP University,Andhra Pradesh,India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, VIT-AP University,Andhra Pradesh,India","institution_ids":["https://openalex.org/I4401726783"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045238033"],"corresponding_institution_ids":["https://openalex.org/I4401726783"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46468222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"427","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9517999887466431,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9517999887466431,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9462000131607056,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7036910653114319},{"id":"https://openalex.org/keywords/panopticon","display_name":"Panopticon","score":0.6180485486984253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6179474592208862},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.596365213394165},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.542319118976593},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46705877780914307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33355027437210083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3257448673248291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7036910653114319},{"id":"https://openalex.org/C138569888","wikidata":"https://www.wikidata.org/wiki/Q828310","display_name":"Panopticon","level":3,"score":0.6180485486984253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6179474592208862},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.596365213394165},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.542319118976593},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46705877780914307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33355027437210083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3257448673248291},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ocit65031.2024.00081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ocit65031.2024.00081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 OITS International Conference on Information Technology (OCIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2344654247","https://openalex.org/W2565639579","https://openalex.org/W2768673271","https://openalex.org/W2790979755","https://openalex.org/W2803224943","https://openalex.org/W2807045376","https://openalex.org/W2808864681","https://openalex.org/W2883090707","https://openalex.org/W2884654146","https://openalex.org/W2891432762","https://openalex.org/W2892341857","https://openalex.org/W2955521425","https://openalex.org/W2963393688","https://openalex.org/W2963849369","https://openalex.org/W2964115968","https://openalex.org/W2964236837","https://openalex.org/W2965158339"],"related_works":["https://openalex.org/W2921107741","https://openalex.org/W2197002326","https://openalex.org/W2494728058","https://openalex.org/W3204968380","https://openalex.org/W1710116222","https://openalex.org/W2800383628","https://openalex.org/W2345320341","https://openalex.org/W4233922521","https://openalex.org/W4381850983","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Panoptic":[0],"segmentation":[1,21,33,108,129],"automatically":[2],"delineates":[3],"particular":[4,128],"anatomical":[5],"regions":[6],"of":[7,32,44,53,67,77,105,112,124,169],"interest":[8],"and":[9,17,131,147],"facilitates":[10],"numerous":[11],"subsequent":[12],"tasks":[13],"like":[14],"shape":[15],"analysis":[16],"volume":[18],"measurement;":[19],"image":[20,26,160],"is":[22,173],"crucial":[23],"to":[24,56,64,91,96,121,135],"medical":[25,71],"analysis.":[27],"In":[28],"particular,":[29],"the":[30,40,65,75,93,102,113,122,137,151,167,170],"performance":[31],"algorithms":[34],"has":[35],"been":[36],"significantly":[37],"improved":[38],"by":[39],"recent":[41],"rapid":[42],"development":[43],"deep":[45,106],"learning":[46,89,155],"techniques,":[47],"which":[48],"effectively":[49],"use":[50],"massive":[51],"volumes":[52],"labelled":[54],"data":[55,148],"build":[57,163],"complex":[58],"models.":[59],"Nevertheless,":[60],"a":[61,127,164],"significant":[62],"barrier":[63],"application":[66],"learning-based":[68,107],"techniques":[69],"for":[70,81,142,158],"images":[72],"may":[73],"be":[74],"challenge":[76],"acquiring":[78],"manual":[79],"labels":[80],"training.":[82],"Researchers":[83,100],"have":[84],"looked":[85],"into":[86],"mutual":[87],"information-based":[88],"strategies":[90],"loosen":[92],"labelling":[94],"criteria":[95],"solve":[97],"this":[98],"issue.":[99],"outline":[101],"fundamental":[103],"concepts":[104],"along":[109],"with":[110,175],"some":[111,139],"most":[114],"advanced":[115],"methods":[116],"available":[117],"today,":[118],"arranged":[119],"according":[120],"type":[123],"supervision.":[125],"Given":[126],"objective":[130],"dataset,":[132],"we":[133],"aim":[134],"offer":[136],"reader":[138],"potential":[140],"options":[141],"model":[143,157,172],"selection,":[144],"training":[145],"approaches,":[146],"modification":[149],"using":[150],"Mutual":[152],"informative":[153],"active":[154],"(MIALA)":[156],"lung":[159],"segmentation.":[161],"To":[162],"better":[165],"trade-off,":[166],"functionality":[168],"proposed":[171],"compared":[174],"other":[176],"existing":[177],"alternatives.":[178]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}