{"id":"https://openalex.org/W2906213631","doi":"https://doi.org/10.1088/1742-6596/1120/1/012050","title":"Histopathology Grading Identification of Breast Cancer Based on Texture Classification Using GLCM and Neural Network Method","display_name":"Histopathology Grading Identification of Breast Cancer Based on Texture Classification Using GLCM and Neural Network Method","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2906213631","doi":"https://doi.org/10.1088/1742-6596/1120/1/012050","mag":"2906213631"},"language":"en","primary_location":{"id":"doi:10.1088/1742-6596/1120/1/012050","doi":"https://doi.org/10.1088/1742-6596/1120/1/012050","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/1120/1/012050","pdf_url":"https://iopscience.iop.org/article/10.1088/1742-6596/1120/1/012050/pdf","source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics: Conference Series","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://iopscience.iop.org/article/10.1088/1742-6596/1120/1/012050/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082617723","display_name":"Riries Rulaningtyas","orcid":"https://orcid.org/0000-0001-7058-1566","observed_orcids":["https://orcid.org/0000-0001-7058-1566"]},"institutions":[{"id":"https://openalex.org/I205133468","display_name":"Universitas Airlangga","ror":"https://ror.org/04ctejd88","country_code":"ID","type":"education","lineage":["https://openalex.org/I205133468"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Riries Rulaningtyas","raw_affiliation_strings":["Biomedical Engineering Study Program, Department of Physics, Airlangga University, Jl. Mulyorejo, Surabaya, 60115, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Study Program, Department of Physics, Airlangga University, Jl. Mulyorejo, Surabaya, 60115, Indonesia","institution_ids":["https://openalex.org/I205133468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026561001","display_name":"Agoes Santika Hyperastuty","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I205133468","display_name":"Universitas Airlangga","ror":"https://ror.org/04ctejd88","country_code":"ID","type":"education","lineage":["https://openalex.org/I205133468"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Agoes Santika Hyperastuty","raw_affiliation_strings":["Biomedical Engineering Master Program, Airlangga University, Jl. Mulyorejo, Surabaya, 60115, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Master Program, Airlangga University, Jl. Mulyorejo, Surabaya, 60115, Indonesia","institution_ids":["https://openalex.org/I205133468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015780832","display_name":"Anny Setijo Rahaju","orcid":"https://orcid.org/0000-0001-8392-3350","observed_orcids":["https://orcid.org/0000-0001-8392-3350"]},"institutions":[{"id":"https://openalex.org/I205133468","display_name":"Universitas Airlangga","ror":"https://ror.org/04ctejd88","country_code":"ID","type":"education","lineage":["https://openalex.org/I205133468"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Anny Setijo Rahaju","raw_affiliation_strings":["Department of Pathology Anatomy, Medical Faculty, Airlangga University, Jl. Mulyorejo, Surabaya, 60115, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology Anatomy, Medical Faculty, Airlangga University, Jl. Mulyorejo, Surabaya, 60115, Indonesia","institution_ids":["https://openalex.org/I205133468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082617723"],"corresponding_institution_ids":["https://openalex.org/I205133468"],"apc_list":null,"apc_paid":null,"fwci":0.181,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.48988965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"1120","issue":null,"first_page":"012050","last_page":"012050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9945999979972839,"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":0.9945999979972839,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0035000001080334187,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.0007999999797903001,"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/breast-cancer","display_name":"breast cancer","score":0.7889999747276306},{"id":"https://openalex.org/keywords/histopathology-grading","display_name":"histopathology grading","score":0.8870000243186951},{"id":"https://openalex.org/keywords/texture-classification","display_name":"texture classification","score":0.8870000243186951},{"id":"https://openalex.org/keywords/gray-level-co-occurrence-matrix","display_name":"gray level co-occurrence matrix","score":0.9800000190734863},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.9629999995231628},{"id":"https://openalex.org/keywords/tube-formation","display_name":"tube formation","score":0.9279999732971191},{"id":"https://openalex.org/keywords/angular-second-moment","display_name":"angular second moment","score":0.6769999861717224},{"id":"https://openalex.org/keywords/contrast","display_name":"contrast","score":0.48899999260902405},{"id":"https://openalex.org/keywords/entropy-information-theory","display_name":"entropy (information theory)","score":0.9819999933242798},{"id":"https://openalex.org/keywords/variance","display_name":"variance","score":0.8949999809265137}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7496278285980225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6731287240982056},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6682331562042236},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.6365415453910828},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6080427765846252},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6007088422775269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5021653175354004},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4812897741794586},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.24334344267845154},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22626465559005737},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09007015824317932},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0813005268573761},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/1742-6596/1120/1/012050","doi":"https://doi.org/10.1088/1742-6596/1120/1/012050","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/1120/1/012050","pdf_url":"https://iopscience.iop.org/article/10.1088/1742-6596/1120/1/012050/pdf","source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics: Conference Series","raw_type":"journal-article"},{"id":"pmh:oai:repository.unair.ac.id:123514","doi":null,"is_oa":false,"landing_page_url":"https://repository.unair.ac.id/123514/1/42%20artikel.pdf","pdf_url":"https://repository.unair.ac.id/123514/1/42%20artikel.pdf","source":{"id":"https://openalex.org/S4306400777","display_name":"Universitas Airlangga Repository (Universitas Airlangga)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205133468","host_organization_name":"Universitas Airlangga","host_organization_lineage":["https://openalex.org/I205133468"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Book Section"}],"best_oa_location":{"id":"doi:10.1088/1742-6596/1120/1/012050","doi":"https://doi.org/10.1088/1742-6596/1120/1/012050","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/1120/1/012050","pdf_url":"https://iopscience.iop.org/article/10.1088/1742-6596/1120/1/012050/pdf","source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics: Conference Series","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8048999905586243,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2906213631.pdf","grobid_xml":"https://content.openalex.org/works/W2906213631.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1965451568","https://openalex.org/W1984814266","https://openalex.org/W2165984708","https://openalex.org/W2298632551","https://openalex.org/W2418166239","https://openalex.org/W2497532187","https://openalex.org/W2626429734"],"related_works":["https://openalex.org/W2014604154","https://openalex.org/W2989279978","https://openalex.org/W2424807480","https://openalex.org/W2246989063","https://openalex.org/W2418166239","https://openalex.org/W2072335706","https://openalex.org/W7100114778","https://openalex.org/W4229062925","https://openalex.org/W4417353109","https://openalex.org/W1172960562"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,27,32,41,158],"is":[2,10,28,42,118],"the":[3,37,141,154],"leading":[4],"type":[5],"of":[6,25,31,36,70,127,143,156],"malignant":[7],"tumor":[8],"which":[9,121],"observed":[11],"in":[12,39,133,145],"women.":[13],"The":[14,22,34,66,115,148],"effective":[15],"treatment":[16],"depends":[17],"on":[18],"its":[19],"early":[20],"diagnosis.":[21],"gold":[23],"standard":[24],"breast":[26,40,62,157],"histopathologic":[29],"examination":[30],"cells.":[33],"determination":[35],"grading":[38,119,159],"determined":[43],"by":[44],"three":[45],"factors:":[46],"pleomorphic,":[47],"tubular":[48,58],"formation":[49,59],"and":[50,57,79,91,112,140,165],"cell":[51,63],"mitosis.":[52],"This":[53],"paper":[54],"uses":[55,122],"pleumorfic":[56],"pattern":[60],"from":[61],"histopathology":[64],"images.":[65],"proposed":[67],"system":[68],"consists":[69],"four":[71,102],"major":[72],"steps":[73],":":[74],"preprocessing,":[75],"segmentation,":[76],"feature":[77,99],"extraction":[78,100],"classification.":[80],"We":[81],"use":[82,92],"k":[83],"\u2013":[84],"means":[85],"clustering":[86],"method":[87],"for":[88,98,153],"image":[89],"segmentation":[90],"Gray":[93],"level":[94],"Cooccurence":[95],"Matrix":[96],"(GLCM)":[97],"with":[101,160],"features":[103],"(i.e.":[104],"angular":[105],"second":[106],"moment,":[107],"contrast":[108],"feature,":[109,111],"entropy":[110],"variance":[113],"feature).":[114],"final":[116],"step":[117],"classification":[120],"Backpropagation":[123],"Neural":[124],"Network.":[125],"Some":[126],"important":[128],"parameters":[129],"will":[130],"be":[131],"variated":[132],"this":[134],"process":[135],"such":[136],"as":[137],"learning":[138],"rate":[139],"number":[142],"node":[144],"hidden":[146],"layer.":[147],"research":[149],"gives":[150],"good":[151],"result":[152],"identification":[155],"88%":[161],"accuracy,":[162],"85%":[163],"sensitivity,":[164],"80%":[166],"specificity.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-10-08T09:06:37.294493","created_date":"2019-01-01T00:00:00"}
