Departments of Surgery, Human Oncology, and Computer Sciences
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by
William H. Wolberg
,
W. Nick Street
,
Ph. D
,
Dennis M. Heisey
,
Ph. D
,
Olvi L. Mangasarian
,
Ph. D
BibTeX
@MISC{Wolberg_departmentsof,
author = {William H. Wolberg and W. Nick Street and Ph. D and Dennis M. Heisey and Ph. D and Olvi L. Mangasarian and Ph. D},
title = {Departments of Surgery, Human Oncology, and Computer Sciences},
year = {}
}
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Abstract
3 ABSTRACT: Objectives: Use digital image analysis and machine-learning to: 1) improve breast mass diagnosis based on fine needle aspirates (FNA), and 2) improve breast cancer prognostic estimations. Design: An interactive computer system evaluates, diagnoses, and determines prognosis based on cytologic features derived directly from a digital scan of fine-needle aspirate slides.
