{"id":"https://openalex.org/W4388758124","doi":"https://doi.org/10.1109/uemcon59035.2023.10316141","title":"Advancing Connectomics: High-Precision Neural Structure Segmentation Using U-Net-Based Model","display_name":"Advancing Connectomics: High-Precision Neural Structure Segmentation Using U-Net-Based Model","publication_year":2023,"publication_date":"2023-10-12","ids":{"openalex":"https://openalex.org/W4388758124","doi":"https://doi.org/10.1109/uemcon59035.2023.10316141"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon59035.2023.10316141","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/uemcon59035.2023.10316141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","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/A5068928861","display_name":"Anindita Das Bhattacharjee","orcid":null},"institutions":[{"id":"https://openalex.org/I1296725772","display_name":"University of Engineering & Management","ror":"https://ror.org/02decng19","country_code":"IN","type":"education","lineage":["https://openalex.org/I1296725772"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anindita Das Bhattacharjee","raw_affiliation_strings":["Computer Science and Engineering Institute of Engineering and Management,Kolkata,India","Computer Science and Engineering Institute of Engineering and Management, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Institute of Engineering and Management,Kolkata,India","institution_ids":["https://openalex.org/I1296725772"]},{"raw_affiliation_string":"Computer Science and Engineering Institute of Engineering and Management, Kolkata, India","institution_ids":["https://openalex.org/I1296725772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029313984","display_name":"Debi Majumdar","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Debi Majumdar","raw_affiliation_strings":["Computer Science University of California,Santa Cruz,USA","Computer Science University of California, Santa Cruz, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science University of California,Santa Cruz,USA","institution_ids":["https://openalex.org/I185103710"]},{"raw_affiliation_string":"Computer Science University of California, Santa Cruz, USA","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102562620","display_name":"Snehil Dey","orcid":null},"institutions":[{"id":"https://openalex.org/I1296725772","display_name":"University of Engineering & Management","ror":"https://ror.org/02decng19","country_code":"IN","type":"education","lineage":["https://openalex.org/I1296725772"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Snehil Dey","raw_affiliation_strings":["Computer Science and Engineering Institute of Engineering and Management,Kolkata,India","Computer Science and Engineering Institute of Engineering and Management, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Institute of Engineering and Management,Kolkata,India","institution_ids":["https://openalex.org/I1296725772"]},{"raw_affiliation_string":"Computer Science and Engineering Institute of Engineering and Management, Kolkata, India","institution_ids":["https://openalex.org/I1296725772"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040068074","display_name":"Srijita Sarkar","orcid":null},"institutions":[{"id":"https://openalex.org/I1296725772","display_name":"University of Engineering & Management","ror":"https://ror.org/02decng19","country_code":"IN","type":"education","lineage":["https://openalex.org/I1296725772"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srijita Sarkar","raw_affiliation_strings":["Computer Science and Engineering Institute of Engineering and Management,Kolkata,India","Computer Science and Engineering Institute of Engineering and Management, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Institute of Engineering and Management,Kolkata,India","institution_ids":["https://openalex.org/I1296725772"]},{"raw_affiliation_string":"Computer Science and Engineering Institute of Engineering and Management, Kolkata, India","institution_ids":["https://openalex.org/I1296725772"]}]}],"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":0.13077855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"0420","last_page":"0426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9850999712944031,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9847000241279602,"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/connectomics","display_name":"Connectomics","score":0.9910649061203003},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8509876728057861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7557028532028198},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6704917550086975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6323233842849731},{"id":"https://openalex.org/keywords/connectome","display_name":"Connectome","score":0.5631754994392395},{"id":"https://openalex.org/keywords/figure\u2013ground","display_name":"Figure\u2013ground","score":0.5058595538139343},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4948670268058777},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.43051791191101074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3941556513309479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3403916358947754},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.12919893860816956},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10508140921592712},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07342731952667236}],"concepts":[{"id":"https://openalex.org/C2779097318","wikidata":"https://www.wikidata.org/wiki/Q2993446","display_name":"Connectomics","level":4,"score":0.9910649061203003},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8509876728057861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7557028532028198},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6704917550086975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6323233842849731},{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.5631754994392395},{"id":"https://openalex.org/C104319648","wikidata":"https://www.wikidata.org/wiki/Q1412040","display_name":"Figure\u2013ground","level":3,"score":0.5058595538139343},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4948670268058777},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.43051791191101074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3941556513309479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3403916358947754},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.12919893860816956},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10508140921592712},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07342731952667236},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon59035.2023.10316141","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/uemcon59035.2023.10316141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","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":11,"referenced_works":["https://openalex.org/W1898703532","https://openalex.org/W1969013163","https://openalex.org/W2965831377","https://openalex.org/W3015116767","https://openalex.org/W3045580189","https://openalex.org/W3100321296","https://openalex.org/W3119832667","https://openalex.org/W3213416579","https://openalex.org/W4296122806","https://openalex.org/W4394560274","https://openalex.org/W6929290682"],"related_works":["https://openalex.org/W3210800206","https://openalex.org/W1744057168","https://openalex.org/W2091472861","https://openalex.org/W2945607120","https://openalex.org/W2124698428","https://openalex.org/W2086448982","https://openalex.org/W112425480","https://openalex.org/W2550381304","https://openalex.org/W2946138627","https://openalex.org/W3112117434"],"abstract_inverted_index":{"Segmenting":[0],"connectomics":[1,32,55,89],"images":[2],"is":[3,103],"a":[4,43,60,78,86,135,167],"crucial":[5],"endeavor":[6],"in":[7,117,177],"neuroscience":[8],"that":[9,111,145],"provides":[10,146],"remarkable":[11],"insights":[12],"into":[13],"the":[14,19,40,50,73,83,125,132,171,178],"complex":[15],"neuronal":[16],"architecture":[17,62],"of":[18,42,54,88,100,134,149,159],"brain.":[20],"In":[21],"order":[22],"to":[23,48,76,104,130,162],"get":[24],"beyond":[25],"present":[26],"restrictions,":[27],"this":[28,101],"research":[29],"evaluates":[30],"existing":[31],"picture":[33,56],"segmentation":[34,57,95,109,144,164],"approaches":[35],"critically":[36],"and":[37,52,65,91,137,173],"argues":[38],"for":[39,140],"adoption":[41],"U-Net-based":[44,108],"strategy.":[45],"We":[46],"seek":[47,129],"increase":[49],"precision":[51],"effectiveness":[53],"by":[58],"using":[59,85],"U-Net":[61],"with":[63],"contracting":[64],"expanding":[66],"routes.":[67],"Our":[68],"method":[69],"involves":[70],"iteratively":[71],"updating":[72],"network":[74,84],"parameters":[75],"minimise":[77],"loss":[79,148],"function":[80],"after":[81],"training":[82],"collection":[87],"pictures":[90],"associated":[92],"ground":[93,174],"truth":[94,175],"masks.":[96],"The":[97],"main":[98],"goal":[99],"study":[102],"create":[105],"an":[106],"automated":[107],"model":[110,139],"can":[112],"precisely":[113],"identify":[114],"brain":[115],"structures":[116],"serial":[118],"section":[119],"TEM":[120],"(ssTEM)":[121],"pictures.":[122],"By":[123],"harnessing":[124],"dataset\u2019s":[126],"content,":[127],"we":[128],"facilitate":[131],"creation":[133],"robust":[136],"efficient":[138],"precise":[141],"neural":[142],"structure":[143],"optimal":[147],"0.043":[150],"(approx)":[151],"at":[152],"epoch":[153],"197.":[154],"A":[155],"Surface":[156],"Dice":[157],"score":[158],"0.9231,":[160],"used":[161],"evaluate":[163],"accuracy,":[165],"indicates":[166],"strong":[168],"alignment":[169],"between":[170],"predicted":[172],"surfaces":[176],"ssTEM":[179],"dataset":[180],"during":[181],"segmentation.":[182]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}