{"id":"https://openalex.org/W2913895524","doi":"https://doi.org/10.1145/3302425.3302443","title":"Brain Lacunae Segmentation from Fair Sequence Based On Fully Convolutional Neural Network","display_name":"Brain Lacunae Segmentation from Fair Sequence Based On Fully Convolutional Neural Network","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2913895524","doi":"https://doi.org/10.1145/3302425.3302443","mag":"2913895524"},"language":"en","primary_location":{"id":"doi:10.1145/3302425.3302443","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302425.3302443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070884682","display_name":"Wenhan Yang","orcid":"https://orcid.org/0000-0002-1692-0069"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhan Yang","raw_affiliation_strings":["Computer School, South China Normal University, Guangzhou Guangdong China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer School, South China Normal University, Guangzhou Guangdong China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101411134","display_name":"Dingju Zhu","orcid":"https://orcid.org/0000-0003-2042-0814"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingju Zhu","raw_affiliation_strings":["Computer School, South China Normal University, Guangzhou Guangdong China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer School, South China Normal University, Guangzhou Guangdong China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":0.2119,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62753036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9988999962806702,"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":0.9944000244140625,"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":0.7969120740890503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7739763259887695},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7723517417907715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7572201490402222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6079793572425842},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5589258670806885},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5174763202667236},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.4835793375968933},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4512256681919098},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4183724522590637},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3660730719566345},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.13378655910491943},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07227778434753418}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7969120740890503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7739763259887695},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7723517417907715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7572201490402222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6079793572425842},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5589258670806885},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5174763202667236},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.4835793375968933},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4512256681919098},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4183724522590637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3660730719566345},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.13378655910491943},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07227778434753418}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3302425.3302443","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302425.3302443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence","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":7,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2054931144","https://openalex.org/W2096586236","https://openalex.org/W2158742097","https://openalex.org/W2285838348","https://openalex.org/W2542911914","https://openalex.org/W3104085283"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W80586315","https://openalex.org/W4205800335","https://openalex.org/W2758994127"],"abstract_inverted_index":{"Neuroimaging":[0],"in":[1,21],"the":[2,25,31,42,60,104,125],"context":[3],"of":[4,27,30,64,116],"brain":[5,32,46,51,57,65,70,83,97,111],"disease":[6],"is":[7,33],"becoming":[8],"more":[9,11,36,38],"and":[10,15,37,62,121,128],"important.":[12],"Brain":[13],"detection":[14],"segmentation":[16,29,48,53,99,113],"are":[17,54,67],"two":[18],"fundamental":[19],"steps":[20],"neuroimage":[22],"analysis.":[23],"Because":[24],"cost":[26],"manual":[28],"too":[34],"much,":[35],"researchers":[39],"have":[40],"developed":[41],"semi-automatic":[43],"or":[44],"automatic":[45],"tumor":[47,58],"methods.":[49],"However":[50],"lacunae":[52,66,84,98,112],"different":[55],"form":[56],"segmentation,":[59],"shape":[61],"size":[63],"smaller":[68],"than":[69],"tumor.":[71],"This":[72],"paper":[73],"presents":[74],"a":[75],"deep":[76,91,105],"fully":[77,92,106],"convolutional":[78,93,107],"neural":[79,94,108],"network":[80,95,109],"model":[81],"for":[82,96,110],"segmentation.":[85],"The":[86],"experimental":[87,126],"results":[88],"show":[89],"that":[90],"performs":[100],"well.":[101],"In":[102],"addition,":[103],"with":[114],"preprocessing":[115],"histogram":[117],"equalization,":[118],"batch":[119],"normalization,":[120],"dropout":[122],"layers":[123],"improves":[124],"speed":[127],"dice":[129],"coefficient.":[130]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
