Accession Number : ADA295502

Title :   Development of Methods for Computer-Assisted Interpretation of Digital Mammograms for Early Breast Cancer Detection.

Descriptive Note : Annual rept. 1 Mar 94-28 Feb 95,

Corporate Author : CHICAGO UNIV IL

Personal Author(s) : Giger, Maryellen L.

PDF Url : ADA295502

Report Date : 27 MAR 1995

Pagination or Media Count : 103

Abstract : The goal of tha research was to develop a computer-vision module as an aid to radiologists the specific aims: (1) Further development of advanced computerized schemes for the detection and classification of masses and microcalcifications in digital mammograms, including quantitative analysis of the radiographic characteristics and the decision-making processes used by radiologists in making a decision with respect to the likelihood of malignancy and choosing the appropriate course of action. (2) Development of a dedicated intelligent modular system with man-machine interfaces and fast computation times appropriate for the effective use of the computer-vision schemes. (3) Evaluation of the efficacy and efficiency of the module using a large clinical database. The significance of this research is that if the detectability of cancers can be increased by employing a computer to aid the radiologist's diagnosis, then the treatment of patients with cancer an be initiated earlier and their chance of survival improved. Systematic introduction of computer-vision tools to radiologists that is presented in this proposal requires minimal modification to the current reading habits of radiologists. When digital mammographic imaging units become commonplace, the computer-vision module can be interfaced to electronic, filmless medical imaging reading areas.

Descriptors :   *CLINICAL MEDICINE, *COMPUTER APPLICATIONS, *MAMMARY GLANDS, DATA BASES, QUANTITATIVE ANALYSIS, COMPUTATIONS, DETECTION, DECISION MAKING, INTERFACES, EFFICIENCY, MODULAR CONSTRUCTION, X RAYS, SURVIVAL(GENERAL), IMAGES, CLASSIFICATION, MAN MACHINE SYSTEMS, PATIENTS, MEDICAL SERVICES, RADIOGRAPHY, CANCER, HABITS, READING, ELECTIONS.

Subject Categories : Medicine and Medical Research
      Computer Programming and Software

Distribution Statement : APPROVED FOR PUBLIC RELEASE