Computer-aided diagnosis for distinguishing between triple-negative breast cancer and fibroadenomas based on ultrasound texture features

Medical Physics

Volumn 42, Issue 6, 2015, Pages 3024-3035

  Moon, Woo Kyung ^a   Huang, Yao Sian ^b   Lo, Chung Ming ^b   Huang, Chiun Sheng ^c,e   Bae, Min Sun ^a   Kim, Won Hwa ^a   Chen, Jeon Hor ^b,d   Chang, Ruey Feng ^b  

^a Seoul National University Hospital   (South Korea)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^c NATIONAL TAIWAN UNIVERSITY HOSPITAL   (Taiwan)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e I SHOU UNIVERSITY   (Taiwan)

Author keywords

breast cancer; fibroadenoma; gray scale invariant features; ranklet transform; triple negative breast cancer

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DISEASES; NUMERICAL METHODS; STATISTICAL METHODS; ULTRASONICS;

BREAST CANCER; CONFIDENCE INTERVAL; FIBROADENOMA; GRAY SCALE; GRAY-SCALE INVARIANT FEATURE; RANKLET TRANSFORM; RANKLETS; SCALE INVARIANT FEATURES; TEXTURE FEATURES; TRIPLE-NEGATIVE BREAST CANCERS;

TUMORS;

ADULT; ARTICLE; BREAST FIBROADENOMA; COMPUTER ASSISTED DIAGNOSIS; ECHOMAMMOGRAPHY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SUPPORT VECTOR MACHINE; TRIPLE NEGATIVE BREAST CANCER; TUMOR VOLUME; AGED; DIFFERENTIAL DIAGNOSIS; ECHOGRAPHY; FIBROADENOMA; IMAGE PROCESSING; MIDDLE AGED; PROCEDURES;

ADULT; AGED; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; FEMALE; FIBROADENOMA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MIDDLE AGED; SUPPORT VECTOR MACHINE; TRIPLE NEGATIVE BREAST NEOPLASMS;

EID: 84931266806     PISSN: 00942405     EISSN: 24734209     Source Type: Journal    
DOI: 10.1118/1.4921123     Document Type: Article

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