{"id":"https://openalex.org/W3016894301","doi":"https://doi.org/10.1109/isbi45749.2020.9098463","title":"Image Segmentation Using Hybrid Representations","display_name":"Image Segmentation Using Hybrid Representations","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3016894301","doi":"https://doi.org/10.1109/isbi45749.2020.9098463","mag":"3016894301"},"language":"en","primary_location":{"id":"doi:10.1109/isbi45749.2020.9098463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.07071","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091193543","display_name":"Alakh Desai","orcid":"https://orcid.org/0000-0002-5208-0562"},"institutions":[{"id":"https://openalex.org/I4210115791","display_name":"Center for Visual Communication (United States)","ror":"https://ror.org/02dhkpg18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210115791"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alakh Desai","raw_affiliation_strings":["Center for Visual Information Technology"],"affiliations":[{"raw_affiliation_string":"Center for Visual Information Technology","institution_ids":["https://openalex.org/I4210115791"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019379985","display_name":"Ruchi Chauhan","orcid":"https://orcid.org/0000-0002-6921-6112"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ruchi Chauhan","raw_affiliation_strings":["Center for Computational Natural Sciences & Bioinformatics, IIIT, Hyderabad, India","Center for Computational Natural Sciences and Bioinformatics, IIIT Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Center for Computational Natural Sciences & Bioinformatics, IIIT, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"Center for Computational Natural Sciences and Bioinformatics, IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026537714","display_name":"Jayanthi Sivaswamy","orcid":"https://orcid.org/0000-0002-2474-9898"},"institutions":[{"id":"https://openalex.org/I4210115791","display_name":"Center for Visual Communication (United States)","ror":"https://ror.org/02dhkpg18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210115791"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jayanthi Sivaswamy","raw_affiliation_strings":["Center for Visual Information Technology"],"affiliations":[{"raw_affiliation_string":"Center for Visual Information Technology","institution_ids":["https://openalex.org/I4210115791"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091193543"],"corresponding_institution_ids":["https://openalex.org/I4210115791"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04944272,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998000264167786,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998000264167786,"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/T10862","display_name":"AI in cancer detection","score":0.9979000091552734,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976000189781189,"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/segmentation","display_name":"Segmentation","score":0.7982059717178345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7583217024803162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7177151441574097},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5020909309387207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49384742975234985},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.47703856229782104},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.4415627121925354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4287782609462738},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41492176055908203}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7982059717178345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7583217024803162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177151441574097},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5020909309387207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49384742975234985},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.47703856229782104},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.4415627121925354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4287782609462738},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41492176055908203},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/isbi45749.2020.9098463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.07071","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.07071","pdf_url":"https://arxiv.org/pdf/2004.07071","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2004.07071","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2004.07071","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.17023/nba5-7m91","is_oa":true,"landing_page_url":"https://doi.org/10.17023/nba5-7m91","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:3016894301","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.07071","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.07071","pdf_url":"https://arxiv.org/pdf/2004.07071","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3016894301.pdf","grobid_xml":"https://content.openalex.org/works/W3016894301.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1932922755","https://openalex.org/W1994906459","https://openalex.org/W1997259062","https://openalex.org/W2034786340","https://openalex.org/W2140427427","https://openalex.org/W2170331007","https://openalex.org/W2205871084","https://openalex.org/W2613718673","https://openalex.org/W2621367454","https://openalex.org/W2782364420","https://openalex.org/W2888303187","https://openalex.org/W2947263797","https://openalex.org/W2956810285","https://openalex.org/W2963919697","https://openalex.org/W2964227007","https://openalex.org/W3101507774","https://openalex.org/W6620707391"],"related_works":["https://openalex.org/W3028080202","https://openalex.org/W3034279358","https://openalex.org/W3090453230","https://openalex.org/W3011304653","https://openalex.org/W3013471343","https://openalex.org/W3127393872","https://openalex.org/W2912237114","https://openalex.org/W3006169930","https://openalex.org/W3012128277","https://openalex.org/W2979600871","https://openalex.org/W2806818134","https://openalex.org/W16865847","https://openalex.org/W3206579576","https://openalex.org/W2732931556","https://openalex.org/W2963321359","https://openalex.org/W2060207221","https://openalex.org/W2795153470","https://openalex.org/W2383188953","https://openalex.org/W4226227285","https://openalex.org/W2980302269"],"abstract_inverted_index":{"This":[0],"work":[1],"explores":[2],"a":[3,12,104],"hybrid":[4],"approach":[5],"to":[6,11,47,92,102,114],"segmentation":[7,62,117],"as":[8],"an":[9,18],"alternative":[10],"purely":[13],"data-driven":[14],"approach.":[15],"We":[16],"introduce":[17],"end-to-end":[19],"U-Net":[20,88],"based":[21],"network":[22,106],"called":[23],"DU-Net,":[24],"which":[25,49],"uses":[26],"additional":[27],"frequency":[28],"preserving":[29],"features,":[30],"namely":[31],"the":[32,86],"Scattering":[33],"Coefficients":[34],"(SC),":[35],"for":[36],"medical":[37],"image":[38],"segmentation.":[39],"SC":[40],"are":[41],"translation":[42],"invariant":[43],"and":[44,60,66,73],"Lipschitz":[45],"continuous":[46],"deformations":[48],"help":[50],"DU-Net":[51],"outperform":[52],"other":[53],"conventional":[54],"CNN":[55],"counterparts":[56],"on":[57],"four":[58],"datasets":[59],"two":[61],"tasks:":[63],"Optic":[64,67],"Disc":[65],"Cup":[68],"in":[69,76],"color":[70],"fundus":[71],"images":[72,110],"fetal":[74],"Head":[75],"ultrasound":[77],"images.":[78],"The":[79,95],"proposed":[80],"method":[81],"shows":[82],"remarkable":[83],"improvement":[84],"over":[85],"basic":[87],"with":[89,108],"performance":[90],"competitive":[91],"state-of-the-art":[93],"methods.":[94],"results":[96],"indicate":[97],"that":[98],"it":[99],"is":[100],"possible":[101],"use":[103],"lighter":[105],"trained":[107],"fewer":[109],"(without":[111],"any":[112],"augmentation)":[113],"attain":[115],"good":[116],"results.":[118]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
