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Moreover, the combination of gray level co-occurrence matrix (GLCM) and ratio of perimeters (P<jats:sub><jats:italic>ratio<\/jats:italic><\/jats:sub>) presented highest performance among all feature combinations (Ac 95.85%, Se 96%, Sp 91.46%, MCC 0.9146 and A<jats:sub>Z<\/jats:sub>0.9444).The results indicated that the discrimination performance of a computer aided breast cancer diagnosis system increases when textural and morphological features are combined.<\/jats:p>","DOI":"10.1186\/s13673-015-0029-y","type":"journal-article","created":{"date-parts":[[2015,4,29]],"date-time":"2015-04-29T13:49:11Z","timestamp":1430315351000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Assessment of combined textural and morphological features for diagnosis of breast masses in ultrasound"],"prefix":"10.1186","volume":"5","author":[{"given":"Kadayanallur Mahadevan","family":"Prabusankarlal","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Palanisamy","family":"Thirumoorthy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Radhakrishnan","family":"Manavalan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2015,4,30]]},"reference":[{"issue":"2","key":"29_CR1","doi-asserted-by":"publisher","first-page":"69","DOI":"10.3322\/caac.20107","volume":"61","author":"Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D","year":"2011","unstructured":"Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D (2011) Global cancer statistics. 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