{"id":"https://openalex.org/W2902427244","doi":"https://doi.org/10.1109/icacci.2018.8554738","title":"Tumour Detection in Double Threshold Segmented Mammograms Using Optimized GLCM Features fed SVM","display_name":"Tumour Detection in Double Threshold Segmented Mammograms Using Optimized GLCM Features fed SVM","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902427244","doi":"https://doi.org/10.1109/icacci.2018.8554738","mag":"2902427244"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2018.8554738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5087059384","display_name":"Ashwanth Unni","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ashwanth Unni","raw_affiliation_strings":["Dept of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084409480","display_name":"Nidheep Eg","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nidheep Eg","raw_affiliation_strings":["Dept of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060073195","display_name":"Saurav Vinod","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saurav Vinod","raw_affiliation_strings":["Dept of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083555354","display_name":"Lekha S. Nair","orcid":"https://orcid.org/0000-0001-7891-7052"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lekha S Nair","raw_affiliation_strings":["Dept of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"affiliations":[{"raw_affiliation_string":"Dept of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087059384"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":1.6288,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.8799013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9871000051498413,"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":0.9786999821662903,"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/support-vector-machine","display_name":"Support vector machine","score":0.8208439350128174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7864463329315186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7162691950798035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.702595591545105},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6991127729415894},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.588140606880188},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5546169877052307},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5022163391113281},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4756976068019867},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4416186809539795},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4357920289039612},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39561888575553894},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27705180644989014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0927991271018982}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8208439350128174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7864463329315186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7162691950798035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.702595591545105},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6991127729415894},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.588140606880188},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5546169877052307},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5022163391113281},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4756976068019867},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4416186809539795},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4357920289039612},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39561888575553894},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27705180644989014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0927991271018982}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2018.8554738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W840823461","https://openalex.org/W1478695112","https://openalex.org/W1501336053","https://openalex.org/W1564419782","https://openalex.org/W1934604392","https://openalex.org/W1969817086","https://openalex.org/W1982151790","https://openalex.org/W2012327062","https://openalex.org/W2021114680","https://openalex.org/W2026395347","https://openalex.org/W2044465660","https://openalex.org/W2132680427","https://openalex.org/W2541886106","https://openalex.org/W2787841985","https://openalex.org/W2796548218","https://openalex.org/W6679991515"],"related_works":["https://openalex.org/W2138983844","https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2111883783","https://openalex.org/W2009028679","https://openalex.org/W2357424838","https://openalex.org/W2356903262","https://openalex.org/W4237142086","https://openalex.org/W2327601824"],"abstract_inverted_index":{"A":[0],"mammogram":[1],"is":[2,21,86,108,124,154,168],"an":[3],"x-ray":[4],"image":[5,98],"used":[6,87,141,155],"for":[7,23,142],"early":[8],"stage":[9],"breast":[10],"cancer":[11],"detection.":[12],"In":[13],"this":[14],"work":[15],"a":[16,40,69,75,122,127,146],"novel":[17],"and":[18,72,99,114],"efficient":[19],"method":[20],"proposed":[22,51,166],"tumour":[24],"detection":[25],"in":[26],"mammograms":[27],"using":[28,47,68,74],"optimal":[29,64],"GLCM":[30,43,61,115],"features":[31,44,116,131,139],"fed":[32],"to":[33,88,156],"SVM":[34,153],"classifier.":[35,150],"Optimal":[36],"feature":[37,62,65],"set":[38,41,129],"from":[39,96,126],"of":[42,54,104,130,145],"are":[45,117,140],"selected":[46],"genetic":[48,70,120],"algorithm.":[49],"The":[50,151,165],"system":[52],"consists":[53],"steps":[55],"such":[56],"as":[57,161],"pre-processing,":[58],"threshold":[59],"segmentation,":[60],"extraction,":[63],"subset":[66,123],"selection":[67],"algorithm":[71],"classification":[73,136],"support":[76,147],"vector":[77,148],"machine":[78,149],"model.":[79],"After":[80],"pre-processing":[81],"the":[82,97,101,111,134,143,171],"image,":[83],"binary":[84],"thresholding":[85],"remove":[89],"unwanted":[90],"objects":[91],"like":[92],"high":[93],"intensity":[94],"labels":[95],"get":[100],"required":[102],"region":[103,113],"interest.":[105],"Morphological":[106],"dilation":[107],"performed":[109],"on":[110,170],"segmented":[112],"extracted.":[118],"Using":[119],"algorithm,":[121],"computed":[125],"given":[128],"which":[132],"gives":[133],"best":[135],"rate.":[137],"These":[138],"training":[144],"trained":[152],"classify":[157],"new":[158],"input":[159],"images":[160],"normal":[162],"or":[163],"cancerous.":[164],"methodology":[167],"tested":[169],"mini":[172],"MIAS":[173],"database.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
