Artificial Neural Network to aid differentiation of malignant and benign breast masses by ultrasound imaging

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 5750, Issue , 2005, Pages 148-152

  Song, Jae H ^a   Venkatesh, Santosh S ^a   Conant, Emily F ^b   Cary, Ted W ^b   Arger, Peter H ^b   Sehgal, Chandra M ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Artificial Neural Network; Breast cancer; Computer aided diagnosis; Ultrasound imaging

Indexed keywords

BREAST CANCER; RECEIVING OPERATING CHARACTERISTICS; SONOGRAPHY; ULTRASONIC SCANS;

BIOLOGICAL ORGANS; BIOPSY; COMPUTER AIDED DIAGNOSIS; ERROR ANALYSIS; MEDICAL IMAGING; TUMORS; ULTRASONIC IMAGING;

NEURAL NETWORKS;

EID: 24644485337     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.595295     Document Type: Conference Paper

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