Accession Number:

ADA326304

Title:

Classification of Microcalcifications of the Diagnosis of Breast Cancer Using Artificial Neural Networks.

Descriptive Note:

Annual rept. 1 Sep 95-31 Aug 96,

Corporate Author:

GEORGETOWN UNIV WASHINGTON DC

Personal Author(s):

• Wu, Yuzheng C.

Report Date:

1996-09-01

Pagination or Media Count:

31.0

Abstract:

Early detection of breast cancer depends on the accurate classification of microcalcifications. We have developed a computer vision system that can classify microcalcifications objectively and consistently to aid radiologists in the diagnosis of breast cancer. A convolution neural network CNN was employed to classify benign and malignant microcalcifications in the radiographs of pathological specimen that were digitized at a high resolution.

Descriptors:

• *NEURAL NETS
• *CALCIFICATION
• *BREAST CANCER
• DETECTION
• ACCURACY
• HIGH RESOLUTION
• CLASSIFICATION
• COMPUTER AIDED DIAGNOSIS
• RADIOGRAPHY
• CONVOLUTION

Subject Categories:

• Medicine and Medical Research
• Cybernetics
• Optics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE