Adaptive Computer-Assisted Mammography Training for Improved Breast Cancer Screening

Abstract

In this project, we propose to research the methodology for constructing adaptive computer-aided education systems for mammography. Improved mammography education could lead to improved benefit of mammography to breast cancer care and in turn to decreased mortality from the disease. The project includes: Observer studies to collect reading data from radiology trainees; Extraction of image features (human- and computer- based); Statistical modeling of the reader data to discover patterns in their error making; Development of methodology for adaptive training that utilizes the constructed models. The proposed adaptive system could improve education in mammography. This may in turn result in improved benefit of mammography in breast cancer detection and lower mortality associated the disease.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2015
Accession Number
AD1013484

Entities

People

  • Maciej A Mazurowski

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Adaptive Systems
  • Adaptive Training
  • Algorithms
  • Artificial Intelligence
  • Breast Cancer
  • Cancer Screening
  • Computer Vision
  • Computers
  • Detection
  • Diagnostic Imaging
  • Education
  • Individualized Training
  • Machine Learning
  • Neoplasms
  • Ontologies
  • Trainees
  • Training

Fields of Study

  • Medicine

Readers

  • Computational Modeling and Simulation
  • Medical Imaging.
  • Oncology