Automation in mammography: computer vision and human perception

Susan M. Astley; I. Hutt; S. Adamson; Peter Miller; P. Rose; Caroline R. M. Boggis; Christopher J. Taylor; T. Valentine; Jack D. Davies; Janette Armstrong

doi:10.1117/12.148683

29 July 1993 Automation in mammography: computer vision and human perception

Susan M. Astley, I. Hutt, S. Adamson, Peter Miller, P. Rose, Caroline R. M. Boggis, Christopher J. Taylor, T. Valentine, Jack D. Davies, Janette Armstrong

Author Affiliations +

Proceedings Volume 1905, Biomedical Image Processing and Biomedical Visualization; (1993) https://doi.org/10.1117/12.148683
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

Mammographic screening programs generate large numbers of highly variable, complex images, most of which are unequivocally normal. When present, abnormalities may be small or subtle. In this paper we focus on the detection and analysis of mammographic microcalcifications. We present results of experiments to determine factors affecting radiologists' perception of microcalcifications, and to investigate the effects of attention-cueing on detection performance. Our results show that radiologists' performance can be significantly improved with the use of prompts generated from automatically-detected microcalcification clusters. We also describe a new method for the identification and delineation of mammographic abnormalities for training and test purposes, based on the analysis of multiple high quality X-ray projections of excised lesions. Biopsy specimens are secured inside a rigid tetrahedron, the edges of which provide a reference frame to which the localizations of features can be related. Once a three-dimensional representation of an abnormality has been formed, it can be rotated to resemble the appearance in the original mammogram.

Citation Download Citation

Susan M. Astley, I. Hutt, S. Adamson, Peter Miller, P. Rose, Caroline R. M. Boggis, Christopher J. Taylor, T. Valentine, Jack D. Davies, and Janette Armstrong "Automation in mammography: computer vision and human perception", Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); https://doi.org/10.1117/12.148683

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available