Abnormal breast detection in mammogram images by feed-forward neural network trained by Jaya algorithm

Fundamenta Informaticae

Volumn 151, Issue 1-4, 2017, Pages 191-211

  Wang, Shuihua ^a   Rao, Ravipudi Venkata ^b   Chen, Peng ^c   Zhang, Yudong ^a   Liu, Aijun ^d   Wei, Ling ^e  

^a NANJING NORMAL UNIVERSITY   (China)

^b SARDAR VALLABHBHAI NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^c Fu Foundation School of Engineering and Applied Science   (United States)

^d ARIZONA STATE UNIVERSITY   (United States)

^e SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Abnormal breast detection; Computer aided diagnosis; Feedforward neural network; Fractional Fourier transform; Jaya algorithm; Mammogram

Indexed keywords

COMPUTER AIDED DIAGNOSIS; FEEDFORWARD NEURAL NETWORKS; FOURIER TRANSFORMS; IMAGE SEGMENTATION; MAMMOGRAPHY; MEDICAL IMAGING; PLASMA DIAGNOSTICS; X RAY SCREENS;

COMPUTER AIDED DIAGNOSIS SYSTEMS; FRACTIONAL FOURIER TRANSFORMS; INTERPRETATION METHODS; MAMMOGRAM; PRINCIPAL COMPONENTS; STATE-OF-THE-ART SYSTEM; TIME-FREQUENCY SPECTRUM; WEIGHTEDTYPE FRACTIONAL FOURIER TRANSFORM (WFRFT);

PRINCIPAL COMPONENT ANALYSIS;

EID: 85015380071     PISSN: 01692968     EISSN: None     Source Type: Journal    
DOI: 10.3233/FI-2017-1487     Document Type: Article

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