Detection of Stellates and Masses in Digitized Mammograms

Abstract

If detected early, breast cancer can be treated with better patient outcomes and significantly lower costs. From recent (1998) retrospective breast cancer studies, in approximately half of missed cases, a minimal sign was already visible on a prior mammogram. Using information technology such as spatial dendrograms (stealth-related technology) and repartment hierarchical identification (successive information peeling), difficult cases of spiculated and a stellate tumors can be identified. The techniques are robust to noise and can reveal various layers of biophysical and biomedical differences in a tumor.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411915

Entities

People

  • B. S. Thornton
  • Hong-Quan Nguyen
  • M. Rickard
  • W. T. Hung
  • Wonho Lee

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Adipose Tissue
  • Biomedical Technology
  • Breast Cancer
  • Computer Science
  • Detection
  • Identification
  • Image Processing
  • Image Segmentation
  • Images
  • Information Processing
  • Information Theory
  • Intensity
  • Neoplasms
  • Physicians
  • Tissues
  • Universities

Fields of Study

  • Medicine
  • Physics

Readers

  • Neural Network Machine Learning.
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology
  • Biotechnology - Cancer Biotech