{"id":"https://openalex.org/W4386352922","doi":"https://doi.org/10.1109/isbi53787.2023.10230421","title":"Enhancing Polyp Segmentation Generalizability by Minimizing Images\u2019 Total Variation","display_name":"Enhancing Polyp Segmentation Generalizability by Minimizing Images\u2019 Total Variation","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386352922","doi":"https://doi.org/10.1109/isbi53787.2023.10230421"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230421","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi53787.2023.10230421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","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/A5004055849","display_name":"Mahmood Haithami","orcid":"https://orcid.org/0000-0001-6340-8183"},"institutions":[{"id":"https://openalex.org/I155043079","display_name":"University of Nottingham Malaysia Campus","ror":"https://ror.org/04mz9mt17","country_code":"MY","type":"education","lineage":["https://openalex.org/I142263535","https://openalex.org/I155043079"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mahmood Haithami","raw_affiliation_strings":["University of Nottingham Malaysia,Malaysia","University of Nottingham Malaysia, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nottingham Malaysia,Malaysia","institution_ids":["https://openalex.org/I155043079"]},{"raw_affiliation_string":"University of Nottingham Malaysia, Malaysia","institution_ids":["https://openalex.org/I155043079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009154893","display_name":"Amr Ahmed","orcid":"https://orcid.org/0000-0002-7749-7911"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]},{"id":"https://openalex.org/I165525304","display_name":"Edge Hill University","ror":"https://ror.org/028ndzd53","country_code":"GB","type":"education","lineage":["https://openalex.org/I165525304"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Amr Ahmed","raw_affiliation_strings":["University of Nottingham,UK","University of Nottingham, UK","Edge Hill University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nottingham,UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"University of Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"Edge Hill University, UK","institution_ids":["https://openalex.org/I165525304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033249915","display_name":"Iman Yi Liao","orcid":"https://orcid.org/0000-0001-5165-4539"},"institutions":[{"id":"https://openalex.org/I155043079","display_name":"University of Nottingham Malaysia Campus","ror":"https://ror.org/04mz9mt17","country_code":"MY","type":"education","lineage":["https://openalex.org/I142263535","https://openalex.org/I155043079"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Iman Yi Liao","raw_affiliation_strings":["University of Nottingham Malaysia,Malaysia","University of Nottingham Malaysia, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nottingham Malaysia,Malaysia","institution_ids":["https://openalex.org/I155043079"]},{"raw_affiliation_string":"University of Nottingham Malaysia, Malaysia","institution_ids":["https://openalex.org/I155043079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083362570","display_name":"Hamid A. Jalab","orcid":"https://orcid.org/0000-0002-4823-6851"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Hamid Jalab","raw_affiliation_strings":["University of Malaya,Malaysia","University of Malaya, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Malaya,Malaysia","institution_ids":["https://openalex.org/I33849332"]},{"raw_affiliation_string":"University of Malaya, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28471505,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9894000291824341,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9830999970436096,"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/generalizability-theory","display_name":"Generalizability theory","score":0.896604061126709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7096251249313354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.701761782169342},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6383585333824158},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6337398886680603},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6153240203857422},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5462980270385742},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5125367641448975},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4553556442260742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45200106501579285},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.396192729473114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37596577405929565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1459403932094574},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13235095143318176}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.896604061126709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096251249313354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.701761782169342},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6383585333824158},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6337398886680603},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6153240203857422},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5462980270385742},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5125367641448975},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4553556442260742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45200106501579285},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.396192729473114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37596577405929565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1459403932094574},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13235095143318176},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230421","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi53787.2023.10230421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/502d8c1d-fb9d-4105-abc9-c6a77463985a","is_oa":false,"landing_page_url":"https://research.edgehill.ac.uk/en/publications/502d8c1d-fb9d-4105-abc9-c6a77463985a","pdf_url":null,"source":{"id":"https://openalex.org/S4306402462","display_name":"Edge Hill University Research Information Repository (Edge Hill University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165525304","host_organization_name":"Edge Hill University","host_organization_lineage":["https://openalex.org/I165525304"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Haithami, M, Ahmed, A, Liao, I Y & Jalab, H 2023, Enhancing Polyp Segmentation Generalizability by Minimizing Images' Total Variation. in 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. Proceedings - International Symposium on Biomedical Imaging, vol. 2023-April, IEEE Computer Society, pp. 1-5, 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, 18/04/23. https://doi.org/10.1109/ISBI53787.2023.10230421","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8700000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2008359794","https://openalex.org/W2103559027","https://openalex.org/W2889646458","https://openalex.org/W2895440647","https://openalex.org/W2963920537","https://openalex.org/W2982041717","https://openalex.org/W2982083293","https://openalex.org/W2997286550","https://openalex.org/W3004101089","https://openalex.org/W3167994769","https://openalex.org/W3173414741","https://openalex.org/W3175737276","https://openalex.org/W3202635716","https://openalex.org/W3208654440","https://openalex.org/W4239399610","https://openalex.org/W4304699771","https://openalex.org/W4382202939","https://openalex.org/W6639824700","https://openalex.org/W6797498098"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724","https://openalex.org/W4283803360"],"abstract_inverted_index":{"Polyps":[0],"are":[1],"considered":[2],"a":[3,61,70,82,128,142],"precursor":[4],"of":[5,11,37,60,88,94,105,181],"colon":[6],"cancer":[7],"and":[8,153],"early":[9],"detection":[10],"polyps":[12],"may":[13,160],"help":[14],"decrease":[15],"mortality":[16],"rate.":[17],"Several":[18],"deep":[19,71],"learning":[20,63,72],"models":[21,54],"have":[22],"been":[23],"proposed":[24,174],"to":[25,34,55,74,145,184],"address":[26],"the":[27,35,38,44,86,89,92,95,99,106,114,119,123,134,151,162,173],"problem,":[28],"however,":[29],"with":[30,81,168],"limited":[31],"generalizability":[32],"due":[33],"scarcity":[36],"current":[39],"public":[40],"datasets.":[41],"To":[42],"tackle":[43],"issue,":[45],"researchers":[46],"typically":[47],"use":[48],"data":[49,116],"augmentation":[50],"techniques":[51],"or":[52],"generative":[53],"inflate":[56],"training":[57,115],"images,":[58],"independent":[59],"downstream":[62],"task.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68,126],"propose":[69],"framework":[73,175],"jointly":[75],"train":[76],"an":[77,146,179],"image":[78,100,108,135,148],"transformation":[79,101,136,143],"model":[80,84,102],"segmentation":[83,120,152,163],"where":[85],"output":[87],"former":[90],"is":[91],"input":[93,107,147],"latter.":[96],"During":[97],"training,":[98],"generates":[103],"variations":[104],"at":[109],"every":[110],"epoch,":[111],"implicitly":[112],"increasing":[113],"size":[117],"for":[118,133],"model.":[121],"On":[122],"other":[124,156],"hand,":[125],"design":[127],"total":[129],"variational":[130],"denoising":[131],"cost":[132],"model,":[137],"which":[138,159],"effectively":[139],"ensures":[140],"that":[141,172],"applied":[144],"works":[149],"towards":[150],"not":[154],"any":[155],"random":[157],"effects":[158],"hurt":[161],"goal.":[164],"The":[165],"experimental":[166],"results":[167],"different":[169],"settings":[170],"demonstrate":[171],"has":[176],"consistently":[177],"shown":[178],"improvement":[180],"approximately":[182],"1%":[183],"10%":[185],"polyp":[186],"IoU":[187],"on":[188],"unseen":[189],"test":[190],"images.":[191]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}