{"id":"https://openalex.org/W2810834525","doi":"https://doi.org/10.1109/rait.2018.8389034","title":"Breast cancer classification of image using convolutional neural network","display_name":"Breast cancer classification of image using convolutional neural network","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2810834525","doi":"https://doi.org/10.1109/rait.2018.8389034","mag":"2810834525"},"language":"en","primary_location":{"id":"doi:10.1109/rait.2018.8389034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2018.8389034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","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/A5101320530","display_name":"K. Sathesh Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I189109744","display_name":"Indian Institute of Technology Dhanbad","ror":"https://ror.org/013v3cc28","country_code":"IN","type":"education","lineage":["https://openalex.org/I189109744"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kundan Kumar","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology(ISM), Dhanbad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology(ISM), Dhanbad, India","institution_ids":["https://openalex.org/I189109744"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111830527","display_name":"Annavarapu Chandra Sekhara Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I189109744","display_name":"Indian Institute of Technology Dhanbad","ror":"https://ror.org/013v3cc28","country_code":"IN","type":"education","lineage":["https://openalex.org/I189109744"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Annavarapu Chandra Sekhara Rao","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology(ISM), Dhanbad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology(ISM), Dhanbad, India","institution_ids":["https://openalex.org/I189109744"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101320530"],"corresponding_institution_ids":["https://openalex.org/I189109744"],"apc_list":null,"apc_paid":null,"fwci":3.9092,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.94805394,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"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/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9965000152587891,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8221784830093384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.771971583366394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7563459873199463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6945084929466248},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6564120054244995},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6398566961288452},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49615105986595154},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48019254207611084},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46903786063194275},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45156386494636536}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8221784830093384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.771971583366394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7563459873199463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6945084929466248},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6564120054244995},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6398566961288452},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49615105986595154},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48019254207611084},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46903786063194275},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45156386494636536},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rait.2018.8389034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2018.8389034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","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":12,"referenced_works":["https://openalex.org/W2056499382","https://openalex.org/W2097117768","https://openalex.org/W2103212315","https://openalex.org/W2151608510","https://openalex.org/W2163005195","https://openalex.org/W2163605009","https://openalex.org/W2295256730","https://openalex.org/W2299565249","https://openalex.org/W2344480160","https://openalex.org/W2346062110","https://openalex.org/W2919115771","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4299822940","https://openalex.org/W2279398222","https://openalex.org/W2766604260","https://openalex.org/W2986507176","https://openalex.org/W4366492315","https://openalex.org/W2546942002","https://openalex.org/W3160711233","https://openalex.org/W3011074480","https://openalex.org/W4220996320","https://openalex.org/W3156786002"],"abstract_inverted_index":{"Convolutional":[0,59],"Neural":[1],"Network":[2],"(CNN)":[3],"has":[4],"been":[5,74],"set":[6],"up":[7],"as":[8,141],"an":[9,29,37,48,142,169],"intense":[10],"class":[11,64],"of":[12,28,47,65,102,117,128,149],"models":[13],"for":[14,167],"image":[15,30,49,87,130,140],"acknowledgment":[16],"issues.":[17],"CNN":[18,150],"is":[19,62,80,151],"a":[20,63,100],"deep":[21],"learning":[22],"model":[23],"which":[24],"extracts":[25],"the":[26,45,126,129,133,139,146],"feature":[27,34,46,51],"and":[31,94,122,135],"use":[32],"these":[33],"to":[35,43,76,131,144,156],"classify":[36,145],"image.":[38,78,147,170],"Other":[39],"classification":[40,165],"algorithm":[41,53,166],"needs":[42],"extract":[44,125],"using":[50,163],"extraction":[52],"like":[54],"Gray":[55],"Level":[56],"Co-occurrence":[57],"Matrix.":[58],"neural":[60,69],"network":[61,134],"deep,":[66],"feed-forward":[67],"artificial":[68],"networks":[70],"that":[71],"have":[72],"successfully":[73],"applied":[75],"recognizing":[77],"It":[79],"also":[81],"widely":[82],"used":[83],"in":[84],"video":[85],"recognition,":[86],"classification,":[88],"recommender":[89],"systems,":[90],"natural":[91],"language":[92],"processing":[93],"speech":[95],"recognition.":[96],"In":[97],"this":[98],"paper,":[99],"dataset":[101,162],"7909":[103],"breast":[104],"cancer":[105],"histopathology":[106],"images":[107,115],"acquired":[108],"on":[109,160],"82":[110],"patients":[111],"are":[112,116],"taken.":[113],"These":[114],"two":[118],"different":[119],"classes":[120],"benign":[121],"malignant.":[123],"We":[124],"patches":[127],"train":[132],"finally":[136],"we":[137],"give":[138],"input":[143],"Performance":[148],"much":[152],"better":[153],"when":[154],"compared":[155],"other":[157,164],"reported":[158],"results":[159],"MNSIT":[161],"classifying":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}