{"id":"https://openalex.org/W2997560520","doi":"https://doi.org/10.1145/3364836.3364841","title":"Improved DenseNet with Convolutional Attention Module for Brain Tumor Segmentation","display_name":"Improved DenseNet with Convolutional Attention Module for Brain Tumor Segmentation","publication_year":2019,"publication_date":"2019-08-24","ids":{"openalex":"https://openalex.org/W2997560520","doi":"https://doi.org/10.1145/3364836.3364841","mag":"2997560520"},"language":"en","primary_location":{"id":"doi:10.1145/3364836.3364841","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364836.3364841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Symposium on Image Computing and Digital Medicine","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/A5100785631","display_name":"Bin Chen","orcid":"https://orcid.org/0000-0002-8839-4029"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, Suzhou, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, Suzhou, P.R.China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341594","display_name":"Jiajun Wang","orcid":"https://orcid.org/0000-0002-1269-0366"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, Suzhou, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, Suzhou, P.R.China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050364086","display_name":"Zheru Chi","orcid":"https://orcid.org/0000-0003-0714-8713"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Zheru Chi","raw_affiliation_strings":["Department of Electronic and Information Engineering, The Hong Kong Polytechnic, University, Hong Kong, PolyU Shenzhen Research Institute, Shenzhen, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic, University, Hong Kong, PolyU Shenzhen Research Institute, Shenzhen, P.R.China","institution_ids":["https://openalex.org/I14243506","https://openalex.org/I182722699"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5787,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68807339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9916999936103821,"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":0.7435427904129028},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5733733177185059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5084308981895447},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.47862333059310913},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4766553044319153},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4364355504512787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35146820545196533},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32150641083717346},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1719825565814972},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.11310383677482605}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7435427904129028},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5733733177185059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5084308981895447},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.47862333059310913},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4766553044319153},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4364355504512787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35146820545196533},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32150641083717346},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1719825565814972},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.11310383677482605}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3364836.3364841","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364836.3364841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Symposium on Image Computing and Digital Medicine","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":22,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1641498739","https://openalex.org/W1884191083","https://openalex.org/W1987869189","https://openalex.org/W2043299645","https://openalex.org/W2044738244","https://openalex.org/W2097117768","https://openalex.org/W2107878631","https://openalex.org/W2112796928","https://openalex.org/W2163605009","https://openalex.org/W2167510172","https://openalex.org/W2194775991","https://openalex.org/W2301358467","https://openalex.org/W2310992461","https://openalex.org/W2324013702","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2884585870","https://openalex.org/W2907260076","https://openalex.org/W2950621961","https://openalex.org/W2963446712","https://openalex.org/W2964101377"],"related_works":["https://openalex.org/W2610189143","https://openalex.org/W2159424856","https://openalex.org/W4293226380","https://openalex.org/W2136831313","https://openalex.org/W2119916994","https://openalex.org/W2141457018","https://openalex.org/W2374784828","https://openalex.org/W1972318883","https://openalex.org/W2146655154","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0,97],"this":[1,46],"paper,":[2],"a":[3],"novel":[4],"Convolutional":[5,17],"Attention":[6],"Module":[7],"(CAM)":[8],"is":[9,74],"proposed":[10,84,147],"and":[11,55,70,79,118,125,138,155],"integrated":[12],"into":[13],"the":[14,30,50,53,56,60,64,98,102,104,111,132,135,139],"Densely":[15],"Connected":[16],"Network":[18],"(DenseNet)":[19],"for":[20,29,110],"brain":[21,37,153],"tumor":[22,65,113,116,120],"segmentation.":[23],"This":[24],"module":[25],"makes":[26],"it":[27],"possible":[28],"DenseNet":[31,61,140],"to":[32,62,131],"suppress":[33],"irrelevant":[34],"regions":[35],"in":[36,88,160],"MR":[38],"images":[39],"while":[40,77],"highlighting":[41],"useful":[42],"salient":[43],"features.":[44],"Upon":[45],"integration,":[47],"we":[48],"combine":[49],"selectivity":[51],"of":[52,59,101,152],"CAM":[54],"feature":[57,72],"reusability":[58],"resolve":[63],"segmentation":[66,151],"problem":[67],"where":[68],"meaningful":[69],"important":[71],"information":[73],"less":[75],"visible":[76],"noise":[78],"interference":[80],"are":[81,129],"serious.":[82],"Our":[83],"model":[85,148],"was":[86],"evaluated":[87],"Multimodal":[89],"Brain":[90],"Tumor":[91],"Image":[92],"Segmentation":[93],"(BRATS":[94],"2015)":[95],"datasets.":[96],"online":[99],"assessment":[100],"datasets,":[103],"Dice":[105],"Similarity":[106],"Coefficient":[107],"(DSC)":[108],"values":[109],"complete":[112],"area,":[114,117],"core":[115],"enhanced":[119],"area":[121],"were":[122],"0.84,":[123],"0.72,":[124],"0.63,":[126],"respectively,":[127],"which":[128],"superior":[130],"results":[133,143],"from":[134],"traditional":[136],"U-net":[137],"itself.":[141],"Experimental":[142],"demonstrate":[144],"that":[145],"our":[146],"enables":[149],"effective":[150],"tumors":[154],"can":[156],"assist":[157],"medical":[158,163],"practitioners":[159],"analyzing":[161],"complicated":[162],"images.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}