{"id":"https://openalex.org/W3091091787","doi":"https://doi.org/10.1109/icra40945.2020.9197328","title":"ACNN: a Full Resolution DCNN for Medical Image Segmentation","display_name":"ACNN: a Full Resolution DCNN for Medical Image Segmentation","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3091091787","doi":"https://doi.org/10.1109/icra40945.2020.9197328","mag":"3091091787"},"language":"en","primary_location":{"id":"doi:10.1109/icra40945.2020.9197328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra40945.2020.9197328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Robotics and Automation (ICRA)","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/A5030025128","display_name":"Xiao-Yun Zhou","orcid":"https://orcid.org/0000-0001-7886-8596"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Xiao-Yun Zhou","raw_affiliation_strings":["The Hamlyn Centre for Robotic Surgery, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"The Hamlyn Centre for Robotic Surgery, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022890115","display_name":"Jian-Qing Zheng","orcid":"https://orcid.org/0000-0002-1823-1419"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jian-Qing Zheng","raw_affiliation_strings":["The Hamlyn Centre for Robotic Surgery, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"The Hamlyn Centre for Robotic Surgery, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101739544","display_name":"Peichao Li","orcid":"https://orcid.org/0000-0002-3344-0294"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peichao Li","raw_affiliation_strings":["The Hamlyn Centre for Robotic Surgery, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"The Hamlyn Centre for Robotic Surgery, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085036036","display_name":"Guang\u2010Zhong Yang","orcid":"https://orcid.org/0000-0003-4060-4020"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guang-Zhong Yang","raw_affiliation_strings":["The Hamlyn Centre for Robotic Surgery, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"The Hamlyn Centre for Robotic Surgery, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030025128"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":1.954,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.88620017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"8455","last_page":"8461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7908982038497925},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6667981147766113},{"id":"https://openalex.org/keywords/receptive-field","display_name":"Receptive field","score":0.6396263837814331},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6155858039855957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6105899810791016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5791884660720825},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5073429942131042},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.49918413162231445},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4818328619003296},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4806724488735199},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4289027750492096},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4250970780849457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0847853422164917}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7908982038497925},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6667981147766113},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.6396263837814331},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6155858039855957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6105899810791016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5791884660720825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5073429942131042},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.49918413162231445},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4818328619003296},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4806724488735199},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4289027750492096},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4250970780849457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0847853422164917},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra40945.2020.9197328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra40945.2020.9197328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2412453619","https://openalex.org/W2412782625","https://openalex.org/W2556967412","https://openalex.org/W2557406251","https://openalex.org/W2592939477","https://openalex.org/W2630837129","https://openalex.org/W2739455108","https://openalex.org/W2760344638","https://openalex.org/W2773060975","https://openalex.org/W2792101839","https://openalex.org/W2905562891","https://openalex.org/W2916214565","https://openalex.org/W2919115771","https://openalex.org/W2949846184","https://openalex.org/W2957115386","https://openalex.org/W2963351448","https://openalex.org/W2963536842","https://openalex.org/W2963840672","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2979416470","https://openalex.org/W3101907273","https://openalex.org/W4205182665","https://openalex.org/W4285719527","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6696085341","https://openalex.org/W6729983426","https://openalex.org/W6739696289","https://openalex.org/W6741738574","https://openalex.org/W6748481559","https://openalex.org/W6805630560"],"related_works":["https://openalex.org/W2089544495","https://openalex.org/W2079003682","https://openalex.org/W1555021777","https://openalex.org/W2913266608","https://openalex.org/W1964918325","https://openalex.org/W2799648451","https://openalex.org/W2189496153","https://openalex.org/W2186491718","https://openalex.org/W2034008118","https://openalex.org/W4297807321"],"abstract_inverted_index":{"Deep":[0],"Convolutional":[1,118],"Neural":[2,119],"Networks":[3],"(DCNNs)":[4],"are":[5],"used":[6],"extensively":[7],"in":[8],"medical":[9],"image":[10,56,150],"segmentation":[11,151,160],"and":[12,35,97,112,129,146,167],"hence":[13],"3D":[14],"navigation":[15],"for":[16,30,63,86],"robot-assisted":[17],"Minimally":[18],"Invasive":[19],"Surgeries":[20],"(MISs).":[21],"However,":[22],"current":[23],"DCNNs":[24],"usually":[25],"use":[26],"down":[27,41,65],"sampling":[28,42,66],"layers":[29,43],"increasing":[31],"the":[32,45,64,70,75,95,138,154],"receptive":[33,71,99],"field":[34,72,100],"gaining":[36],"abstract":[37],"semantic":[38],"information.":[39],"These":[40],"decrease":[44],"spatial":[46,76],"dimension":[47,77],"of":[48,78,105,137],"feature":[49,79],"maps,":[50],"which":[51,122],"can":[52,157],"be":[53],"detrimental":[54],"to":[55,93,141],"segmentation.":[57],"Atrous":[58,117],"convolution":[59],"is":[60,91,133],"an":[61],"alternative":[62],"layer.":[67],"It":[68],"increases":[69],"whilst":[73],"maintains":[74],"maps.":[80],"In":[81],"this":[82],"paper,":[83],"a":[84,102,110],"method":[85],"effective":[87],"atrous":[88,106,125],"rate":[89],"setting":[90],"proposed":[92,139,155],"achieve":[94,158],"largest":[96],"fully-covered":[98],"with":[101,170],"minimum":[103],"number":[104],"convolutional":[107],"layers.":[108],"Furthermore,":[109],"new":[111],"full":[113],"resolution":[114],"DCNN":[115],"-":[116],"Network":[120],"(ACNN),":[121],"incorporates":[123],"cascaded":[124],"II-blocks,":[126],"residual":[127],"learning":[128],"Instance":[130],"Normalization":[131],"(IN)":[132],"proposed.":[134],"Application":[135],"results":[136],"ACNN":[140,156],"Magnetic":[142],"Resonance":[143],"Imaging":[144],"(MRI)":[145],"Computed":[147],"Tomography":[148],"(CT)":[149],"demonstrate":[152],"that":[153],"higher":[159],"Intersection":[161],"over":[162],"Unions":[163],"(IoUs)":[164],"than":[165],"U-Net":[166],"Deeplabv3+,":[168],"but":[169],"reduced":[171],"trainable":[172],"parameters.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
