{"id":"https://openalex.org/W1500393128","doi":"https://doi.org/10.1007/11783237_45","title":"Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level Quantizations","display_name":"Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level Quantizations","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1500393128","doi":"https://doi.org/10.1007/11783237_45","mag":"1500393128"},"language":"en","primary_location":{"id":"doi:10.1007/11783237_45","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11783237_45","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5048728333","display_name":"Gobert Lee","orcid":"https://orcid.org/0000-0001-8330-0508"},"institutions":[{"id":"https://openalex.org/I42405503","display_name":"Gifu University","ror":"https://ror.org/024exxj48","country_code":"JP","type":"education","lineage":["https://openalex.org/I42405503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Gobert N. Lee","raw_affiliation_strings":["Department of Intelligent Image Information, Division of Regeneration and, Advanced Medical Sciences, Graduate School of Medicine, Gifu University, Gifu City, 501-1194, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Image Information, Division of Regeneration and, Advanced Medical Sciences, Graduate School of Medicine, Gifu University, Gifu City, 501-1194, Japan","institution_ids":["https://openalex.org/I42405503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090297441","display_name":"Takeshi Hara","orcid":"https://orcid.org/0000-0002-0235-238X"},"institutions":[{"id":"https://openalex.org/I42405503","display_name":"Gifu University","ror":"https://ror.org/024exxj48","country_code":"JP","type":"education","lineage":["https://openalex.org/I42405503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Hara","raw_affiliation_strings":["Department of Intelligent Image Information, Division of Regeneration and, Advanced Medical Sciences, Graduate School of Medicine, Gifu University, Gifu City, 501-1194, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Image Information, Division of Regeneration and, Advanced Medical Sciences, Graduate School of Medicine, Gifu University, Gifu City, 501-1194, Japan","institution_ids":["https://openalex.org/I42405503"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027406783","display_name":"Hiroshi Fujita","orcid":"https://orcid.org/0000-0002-2936-9296"},"institutions":[{"id":"https://openalex.org/I42405503","display_name":"Gifu University","ror":"https://ror.org/024exxj48","country_code":"JP","type":"education","lineage":["https://openalex.org/I42405503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Fujita","raw_affiliation_strings":["Department of Intelligent Image Information, Division of Regeneration and, Advanced Medical Sciences, Graduate School of Medicine, Gifu University, Gifu City, 501-1194, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Image Information, Division of Regeneration and, Advanced Medical Sciences, Graduate School of Medicine, Gifu University, Gifu City, 501-1194, Japan","institution_ids":["https://openalex.org/I42405503"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.9044,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72658969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"332","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9988999962806702,"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":0.9988999962806702,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9830999970436096,"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/co-occurrence-matrix","display_name":"Co-occurrence matrix","score":0.87527996301651},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7241924405097961},{"id":"https://openalex.org/keywords/gray-level","display_name":"Gray level","score":0.6558904647827148},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.615465521812439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5774890780448914},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5563002228736877},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5211346745491028},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5140703916549683},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4864354133605957},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48345574736595154},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.45357242226600647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44534674286842346},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3737037181854248},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2818104028701782},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.26076558232307434},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2339228093624115},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.18338942527770996},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1580718755722046}],"concepts":[{"id":"https://openalex.org/C117479156","wikidata":"https://www.wikidata.org/wiki/Q1543908","display_name":"Co-occurrence matrix","level":5,"score":0.87527996301651},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7241924405097961},{"id":"https://openalex.org/C2985861186","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Gray level","level":3,"score":0.6558904647827148},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.615465521812439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5774890780448914},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5563002228736877},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5211346745491028},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5140703916549683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4864354133605957},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48345574736595154},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.45357242226600647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44534674286842346},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3737037181854248},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2818104028701782},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.26076558232307434},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2339228093624115},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.18338942527770996},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1580718755722046}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/11783237_45","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11783237_45","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1968114652","https://openalex.org/W2038037430","https://openalex.org/W2044465660","https://openalex.org/W2054470248","https://openalex.org/W2082481165","https://openalex.org/W2082658672","https://openalex.org/W2102150307","https://openalex.org/W2134916573","https://openalex.org/W2157825442"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W3147024994","https://openalex.org/W1978302214","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W2021817983","https://openalex.org/W1505833044","https://openalex.org/W3021047493"],"abstract_inverted_index":null,"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
