{"id":"https://openalex.org/W3164040514","doi":"https://doi.org/10.1109/isbi48211.2021.9433901","title":"Efficient Binary Cnn For Medical Image Segmentation","display_name":"Efficient Binary Cnn For Medical Image Segmentation","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3164040514","doi":"https://doi.org/10.1109/isbi48211.2021.9433901","mag":"3164040514"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9433901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th 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/A5074694037","display_name":"Kaustav Brahma","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kaustav Brahma","raw_affiliation_strings":["Massachusetts Institute of Technology, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064516490","display_name":"Viksit Kumar","orcid":"https://orcid.org/0000-0003-0056-5223"},"institutions":[{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Viksit Kumar","raw_affiliation_strings":["Massachusetts General Hospital, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital, MA, USA","institution_ids":["https://openalex.org/I4210087915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077533187","display_name":"Anthony E. Samir","orcid":"https://orcid.org/0000-0002-7801-8724"},"institutions":[{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony E. Samir","raw_affiliation_strings":["Massachusetts General Hospital, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital, MA, USA","institution_ids":["https://openalex.org/I4210087915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084128470","display_name":"Anantha P. Chandrakasan","orcid":"https://orcid.org/0000-0002-5977-2748"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anantha P. Chandrakasan","raw_affiliation_strings":["Massachusetts Institute of Technology, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005913897","display_name":"Yonina C. Eldar","orcid":"https://orcid.org/0000-0003-4358-5304"},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yonina C. Eldar","raw_affiliation_strings":["Weizmann Institute of Science, Rehovot, Israel"],"affiliations":[{"raw_affiliation_string":"Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074694037"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.5764,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67539216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"817","last_page":"821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9947999715805054,"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":0.9922000169754028,"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/computer-science","display_name":"Computer science","score":0.77580726146698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7282972931861877},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6941506266593933},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6714979410171509},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5926967263221741},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5827417373657227},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5538314580917358},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5534911155700684},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5175070762634277},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5023210048675537},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47645142674446106},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34874650835990906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1083270013332367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77580726146698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7282972931861877},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6941506266593933},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6714979410171509},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5926967263221741},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5827417373657227},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5538314580917358},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5534911155700684},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5175070762634277},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5023210048675537},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47645142674446106},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34874650835990906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1083270013332367},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi48211.2021.9433901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307801","display_name":"Texas Instruments","ror":"https://ror.org/03vsmv677"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2300242332","https://openalex.org/W2612445135","https://openalex.org/W2753301142","https://openalex.org/W2887447938","https://openalex.org/W2888303187","https://openalex.org/W2957267206","https://openalex.org/W2964008506","https://openalex.org/W2964309882","https://openalex.org/W2964948864","https://openalex.org/W2999219213","https://openalex.org/W3104151879","https://openalex.org/W4297775537","https://openalex.org/W6639824700","https://openalex.org/W6737664043","https://openalex.org/W6744700018","https://openalex.org/W6748481559","https://openalex.org/W6766164835","https://openalex.org/W6925871985"],"related_works":["https://openalex.org/W3002446410","https://openalex.org/W2517104666","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W2008656436","https://openalex.org/W2134924024","https://openalex.org/W2023558673","https://openalex.org/W4319018800","https://openalex.org/W2319888919","https://openalex.org/W2756241593"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"propose":[4],"accurate":[5,100],"binary":[6,101,126],"Depthwise":[7],"Separable":[8],"Convolutional":[9],"Neural":[10],"Networks":[11],"(DSCNNs)":[12],"for":[13,66],"medical":[14,109,141],"image":[15,67],"segmentation.":[16,68],"The":[17,69,89,103,122],"networks":[18,104,137],"are":[19,94,105,128],"binarized":[20],"by":[21,30],"learning":[22],"the":[23,125,134,140],"distribution":[24],"of":[25,79,124],"weights":[26],"and":[27,29,38,58,74,82,117],"activations,":[28],"using":[31],"parameter-free":[32],"skip":[33],"connections":[34],"in":[35],"their":[36],"encoder":[37],"decoder":[39],"structure.":[40],"We":[41],"design":[42],"full":[43,91,135],"precision":[44,92,136],"DSCNNs":[45,70,93,127],"based":[46],"on":[47,107,138],"a":[48,112,118,130],"symmetric":[49],"encoder-decoder,":[50],"feature":[51],"pyramid":[52,60],"network":[53],"with":[54,62],"an":[55],"asymmetric":[56],"decoder,":[57],"spatial":[59],"pooling":[61],"atrous":[63],"convolutions":[64],"strategies":[65],"have":[71],"14":[72],"X":[73,76],"8":[75],"fewer":[77],"number":[78],"model":[80],"parameters":[81],"operations,":[83],"respectively,":[84],"than":[85],"standard":[86],"segmentation":[87],"networks.":[88],"trained":[90,106],"used":[95],"as":[96],"baselines":[97],"to":[98],"achieve":[99],"DSCNNs.":[102],"two":[108],"ultrasound":[110],"datasets,":[111],"public":[113],"fetal":[114],"skull":[115],"dataset":[116],"privileged":[119],"bladder":[120],"dataset.":[121],"accuracy":[123],"within":[129],"3%":[131],"drop":[132],"from":[133],"both":[139],"datasets.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
