{"id":"https://openalex.org/W4392025069","doi":"https://doi.org/10.1109/aipr60534.2023.10440665","title":"Multi-Loss Topology-Aware Deep Learning Network for Segmentation of Vessels in Microscopy Images","display_name":"Multi-Loss Topology-Aware Deep Learning Network for Segmentation of Vessels in Microscopy Images","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4392025069","doi":"https://doi.org/10.1109/aipr60534.2023.10440665"},"language":"en","primary_location":{"id":"doi:10.1109/aipr60534.2023.10440665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr60534.2023.10440665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5114179272","display_name":"Minasadat Attari","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Minasadat Attari","raw_affiliation_strings":["University of Missouri,Department of Electrical Engineering and Computer Science,Columbia,MO,USA","Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri,Department of Electrical Engineering and Computer Science,Columbia,MO,USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065836511","display_name":"Nguyen P. Nguyen","orcid":"https://orcid.org/0000-0001-7964-8069"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nguyen P. Nguyen","raw_affiliation_strings":["University of Missouri,Department of Electrical Engineering and Computer Science,Columbia,MO,USA","Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri,Department of Electrical Engineering and Computer Science,Columbia,MO,USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025286899","display_name":"Kannappan Palaniappan","orcid":"https://orcid.org/0000-0003-2663-1380"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kannappan Palaniappan","raw_affiliation_strings":["University of Missouri,Department of Electrical Engineering and Computer Science,Columbia,MO,USA","Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri,Department of Electrical Engineering and Computer Science,Columbia,MO,USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024182063","display_name":"Filiz Bunyak","orcid":"https://orcid.org/0000-0002-0421-6920"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Filiz Bunyak","raw_affiliation_strings":["University of Missouri,Department of Electrical Engineering and Computer Science,Columbia,MO,USA","Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri,Department of Electrical Engineering and Computer Science,Columbia,MO,USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114179272"],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":2.3655,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89311728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9980000257492065,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9948999881744385,"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":0.6598864793777466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6257387399673462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5641652941703796},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5550963282585144},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5417076349258423},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.529530942440033},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5077265501022339},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4868606925010681},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.31400802731513977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11602112650871277},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06294572353363037}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6598864793777466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6257387399673462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5641652941703796},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5550963282585144},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5417076349258423},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.529530942440033},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5077265501022339},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4868606925010681},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31400802731513977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11602112650871277},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06294572353363037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr60534.2023.10440665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr60534.2023.10440665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2045227075","https://openalex.org/W2145305441","https://openalex.org/W2150769593","https://openalex.org/W2194775991","https://openalex.org/W2800821103","https://openalex.org/W2802388893","https://openalex.org/W2949577571","https://openalex.org/W2963270775","https://openalex.org/W2978005227","https://openalex.org/W3146965905","https://openalex.org/W3158692810","https://openalex.org/W3174708193","https://openalex.org/W4320036956","https://openalex.org/W6763415409"],"related_works":["https://openalex.org/W2086397253","https://openalex.org/W4375867731","https://openalex.org/W2133122801","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W3081478936","https://openalex.org/W2611989081","https://openalex.org/W2785612136","https://openalex.org/W2099529706","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Accurate":[0,44],"segmentation":[1,30,45,65,101,171],"of":[2,9,46,58,126,172],"microvasculature":[3],"is":[4,50,154],"vital":[5],"for":[6,28,52],"the":[7,47,59,78,123,127,162,170],"analysis":[8],"vascular":[10,80],"networks.":[11],"Common":[12],"deep":[13,100],"learning":[14],"networks":[15],"using":[16],"pixel-level":[17],"loss":[18,107,135],"functions":[19],"like":[20],"binary":[21],"cross-entropy":[22],"(BCE)":[23],"or":[24,72,142,157],"dice":[25,73],"are":[26,39],"effective":[27],"general":[29],"but":[31],"face":[32],"challenges":[33],"with":[34,161],"thin":[35,173],"curvilinear":[36,174],"structures":[37],"that":[38,103],"prone":[40],"to":[41,121],"topology":[42,167],"errors.":[43],"retinal":[48],"vessels":[49],"essential":[51],"precise":[53],"morphological":[54],"and":[55,90,111,117],"structural":[56],"characterization":[57],"underlying":[60],"microvascular":[61,129],"system.":[62],"Minor":[63],"pixel":[64],"errors,":[66,74],"despite":[67],"resulting":[68,79],"in":[69,115,140,149],"low":[70],"BCE":[71],"can":[75,136],"significantly":[76],"alter":[77],"graphs,":[81],"affecting":[82],"blood":[83],"flow":[84],"analysis,":[85],"vessel":[86],"tortuosity,":[87],"bifurcation":[88],"numbers":[89],"angles,":[91],"etc.":[92],"In":[93],"this":[94],"paper,":[95],"we":[96],"propose":[97],"a":[98],"novel":[99],"network":[102],"incorporates":[104],"two":[105],"complementary":[106],"functions,":[108],"one":[109,112],"local":[110],"global,":[113],"computed":[114],"spatial":[116],"frequency":[118],"domains":[119],"respectively":[120],"preserve":[122],"topological":[124],"features":[125],"analyzed":[128],"network.":[130],"The":[131],"proposed":[132,163],"global":[133],"orientation":[134],"be":[137],"used":[138],"both":[139],"supervised":[141],"unsupervised":[143],"fashions,":[144],"further":[145],"increasing":[146],"its":[147],"applicability":[148],"scenarios":[150],"where":[151],"labeled":[152],"data":[153],"unavailable,":[155],"scarce,":[156],"imprecise.":[158],"Preliminary":[159],"results":[160],"approach":[164],"show":[165],"improved":[166],"preservation":[168],"during":[169],"structures.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}