{"id":"https://openalex.org/W2999016187","doi":"https://doi.org/10.1145/3369166.3369184","title":"Brain Tumor Screening using Adaptive Gamma Correction and Deep Learning","display_name":"Brain Tumor Screening using Adaptive Gamma Correction and Deep Learning","publication_year":2019,"publication_date":"2019-10-23","ids":{"openalex":"https://openalex.org/W2999016187","doi":"https://doi.org/10.1145/3369166.3369184","mag":"2999016187"},"language":"en","primary_location":{"id":"doi:10.1145/3369166.3369184","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369166.3369184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Bioinformatics and Biomedical Science","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/A5055586243","display_name":"Zheng Huang","orcid":"https://orcid.org/0000-0003-4117-2434"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Huang","raw_affiliation_strings":["Shenyang Institute of Automation, Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences and University of Chinese Academy of Sciences, Shenyang, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences and University of Chinese Academy of Sciences, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101456771","display_name":"Guoli Song","orcid":"https://orcid.org/0000-0002-6188-0334"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoli Song","raw_affiliation_strings":["Shenyang Institute of Automation, Chinese Academy of Sciences and Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences and Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101971483","display_name":"Yiwen Zhao","orcid":"https://orcid.org/0000-0002-3853-7458"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Zhao","raw_affiliation_strings":["Shenyang Institute of Automation, Chinese Academy of Sciences and Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences and Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"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":1.0,"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":0.9944000244140625,"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"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6004219651222229},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.554092288017273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5192318558692932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6004219651222229},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.554092288017273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5192318558692932}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3369166.3369184","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369166.3369184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Bioinformatics and Biomedical Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8199999928474426,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W256265060","https://openalex.org/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2123498585","https://openalex.org/W2185967267","https://openalex.org/W2194775991","https://openalex.org/W2683528730","https://openalex.org/W2744130673","https://openalex.org/W2788923878","https://openalex.org/W2790842637","https://openalex.org/W2897188827","https://openalex.org/W2905017682"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756"],"abstract_inverted_index":{"Generally,":[0],"the":[1,9,20,24,27,35,96,103,113,116,159,171,177,180],"brain":[2,21,72,87,104,123,145],"tumor":[3,73],"is":[4,14,40,84,167],"regarded":[5],"as":[6,23],"one":[7],"of":[8,50,115,179],"most":[10],"dangerous":[11],"diseases.":[12],"It":[13],"always":[15,31],"too":[16],"late":[17],"to":[18,45,63,100,143,157,169],"detect":[19],"tumors,":[22],"tumors":[25],"at":[26],"early":[28],"stage":[29],"are":[30,89,125,141,155],"ignored.":[32],"In":[33],"fact,":[34],"traditional":[36],"manual":[37],"diagnosis":[38],"process":[39],"inefficient.":[41],"The":[42,86,173],"radiologists":[43,67,97],"have":[44],"accomplish":[46],"a":[47,71,135],"great":[48],"amount":[49],"reading":[51],"work":[52],"per":[53],"day,":[54],"which":[55,109],"can":[56,110,183],"result":[57],"in":[58],"weariness":[59],"and":[60,81,93,95,134,162],"thus":[61],"lead":[62],"misdiagnosis.":[64],"To":[65],"liberate":[66],"from":[68],"endless":[69],"work,":[70],"screening":[74],"system":[75,182],"based":[76,130],"on":[77,131],"adaptive":[78,137],"gamma":[79,138],"correction":[80,139],"deep":[82],"learning":[83],"proposed.":[85],"images":[88,105,124,146],"labeled":[90,106],"with":[91,102,107,147],"\"non-tumor\"":[92],"\"tumors\",":[94,108],"just":[98],"needs":[99],"deal":[101],"significantly":[111],"reduce":[112],"workload":[114],"radiologists.":[117],"Firstly,":[118],"sufficient":[119],"contrast":[120],"enhanced":[121],"T1-weighted":[122],"collected.":[126],"Further,":[127],"background":[128],"removal":[129],"iterative":[132],"threshold":[133],"novel":[136],"(NAGC)":[140],"implemented":[142],"generate":[144],"similar":[148],"overall":[149],"intensity.":[150],"Finally,":[151],"data":[152],"augmentation":[153],"technologies":[154],"applied":[156],"enlarge":[158],"training":[160],"set,":[161],"convolutional":[163],"neural":[164],"network":[165],"(CNN)":[166],"adopted":[168],"train":[170],"classifier.":[172],"results":[174],"indicate":[175],"that":[176],"accuracy":[178],"proposed":[181],"reach":[184],"95.13%.":[185]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}