Computer-Assisted Visual Search/Decision Aids as a Training Tool for Mammography.

Abstract

The primary goal of the project is to develop a computer-assisted visual search (CAVS) mammography training tool that will improve the perceptual and cognitive skills of trainees leading to mammographic expertise. In the first year we have carried out two experiments. The first equates experience by comparing perceptual skills of expert radiologists with laypeople searching non-medical pictorial scenes for hidden targets. Results show that expert radiology search and detection strategies do not transfer effectively to the non-medical search and detection tasks. This suggests that radiology expertise consists of specific perceptual and cognitive skills that develop primarily from experience reading medical x-ray images.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1998
Accession Number
ADA358072

Entities

People

  • Calvin Nodine

Organizations

  • University of Pennsylvania

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Bone Fractures
  • Cognition
  • Computational Science
  • Computer Vision
  • Computers
  • Databases
  • Detection
  • Health Services
  • Human-Machine Interaction
  • Information Processing
  • Medical Personnel
  • Physicians
  • Students
  • Test Sets
  • Training
  • X Rays

Fields of Study

  • Computer science

Readers

  • Human-Computer Interaction (HCI).
  • Oncology and Biomarker-Based Cancer Detection.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.