A novel approach to computer-aided diagnosis of mammographic images

The article is a work-in-progress report of a research endeavor that deals with the design and development of a novel approach to computer aided diagnosis (CAD) of mammographic images. With the initial emphasis being on the analysis of microcalcifications, the proposed approach defines a synergistic...

Full description

Saved in:
Bibliographic Details
Main Authors: Sari-Sarraf, H., Gleason, S.S., Hudson, K.T., Hubner, K.F.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical imaging
Breast cancer
Computer aided diagnosis
Design automation
Focusing
Fractals
Image segmentation
Laboratories
Medical diagnostic imaging
Throughput
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The article is a work-in-progress report of a research endeavor that deals with the design and development of a novel approach to computer aided diagnosis (CAD) of mammographic images. With the initial emphasis being on the analysis of microcalcifications, the proposed approach defines a synergistic paradigm that utilizes new methodologies together with previously developed techniques. The new paradigm is intended to promote a higher degree of accuracy in CAD of mammograms with an increased overall throughput. The process of accomplishing these goals is initiated by the fractal encoding of the input image, which gives rise to the generation of focus-of-attention regions (FARs), that is, regions that contain anomalies. The primary thrust of this work is to demonstrate that by considering FARs, rather than the entire input image, the performances of the ensuing processes (i.e., segmentation, feature extraction, and classification) are enhanced in terms of accuracy and speed. An experimental study is included that demonstrates the impact of FAR generation on the process of microcalcification segmentation.
DOI:10.1109/ACV.1996.572060