Novel approach to computer-aided diagnosis of mammographic images

Hamed Sari-Sarraf, Shaun S. Gleason, Kathleen T. Hudson, Karl Hubner

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

This is a work-in-progress report of a research endeavor that deals with the design and development of a novel approach to computer-aided diagnosis (CAD) of mammographic images. With the initial emphasis being on the analysis of microcalcifications, the proposed approach defines a synergistic paradigm that utilizes new methodologies together with previously developed techniques. The new paradigm is intended to promote a higher degree of accuracy in CAD of mammograms with an increased overall throughput. The process of accomplishing these goals is initiated by the fractal encoding of the input image, which gives rise to the generation of focus-of-attention regions (FARs), that is, regions that contain anomalies. The primary thrust of this work is to demonstrate that by considering FARs, rather than the entire input image, the performances of the ensuing processes (i.e., segmentation, feature extraction, and classification) are enhanced in terms of accuracy and speed. An experimental study is included that demonstrates the impact of FAR generation on the process of microcalcification segmentation.

Original languageEnglish (US)
Pages230-235
Number of pages6
StatePublished - Dec 1 1996
Externally publishedYes
EventProceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96 - Sarasota, FL, USA
Duration: Dec 2 1996Dec 4 1996

Other

OtherProceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96
CitySarasota, FL, USA
Period12/2/9612/4/96

Fingerprint

Computer aided diagnosis
Fractals
Feature extraction
Throughput

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Sari-Sarraf, H., Gleason, S. S., Hudson, K. T., & Hubner, K. (1996). Novel approach to computer-aided diagnosis of mammographic images. 230-235. Paper presented at Proceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96, Sarasota, FL, USA, .

Novel approach to computer-aided diagnosis of mammographic images. / Sari-Sarraf, Hamed; Gleason, Shaun S.; Hudson, Kathleen T.; Hubner, Karl.

1996. 230-235 Paper presented at Proceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96, Sarasota, FL, USA, .

Research output: Contribution to conferencePaper

Sari-Sarraf, H, Gleason, SS, Hudson, KT & Hubner, K 1996, 'Novel approach to computer-aided diagnosis of mammographic images' Paper presented at Proceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96, Sarasota, FL, USA, 12/2/96 - 12/4/96, pp. 230-235.
Sari-Sarraf H, Gleason SS, Hudson KT, Hubner K. Novel approach to computer-aided diagnosis of mammographic images. 1996. Paper presented at Proceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96, Sarasota, FL, USA, .
Sari-Sarraf, Hamed ; Gleason, Shaun S. ; Hudson, Kathleen T. ; Hubner, Karl. / Novel approach to computer-aided diagnosis of mammographic images. Paper presented at Proceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96, Sarasota, FL, USA, .6 p.
@conference{b786939bd2cf4099ad327213be2254a9,
title = "Novel approach to computer-aided diagnosis of mammographic images",
abstract = "This is a work-in-progress report of a research endeavor that deals with the design and development of a novel approach to computer-aided diagnosis (CAD) of mammographic images. With the initial emphasis being on the analysis of microcalcifications, the proposed approach defines a synergistic paradigm that utilizes new methodologies together with previously developed techniques. The new paradigm is intended to promote a higher degree of accuracy in CAD of mammograms with an increased overall throughput. The process of accomplishing these goals is initiated by the fractal encoding of the input image, which gives rise to the generation of focus-of-attention regions (FARs), that is, regions that contain anomalies. The primary thrust of this work is to demonstrate that by considering FARs, rather than the entire input image, the performances of the ensuing processes (i.e., segmentation, feature extraction, and classification) are enhanced in terms of accuracy and speed. An experimental study is included that demonstrates the impact of FAR generation on the process of microcalcification segmentation.",
author = "Hamed Sari-Sarraf and Gleason, {Shaun S.} and Hudson, {Kathleen T.} and Karl Hubner",
year = "1996",
month = "12",
day = "1",
language = "English (US)",
pages = "230--235",
note = "Proceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96 ; Conference date: 02-12-1996 Through 04-12-1996",

}

TY - CONF

T1 - Novel approach to computer-aided diagnosis of mammographic images

AU - Sari-Sarraf, Hamed

AU - Gleason, Shaun S.

AU - Hudson, Kathleen T.

AU - Hubner, Karl

PY - 1996/12/1

Y1 - 1996/12/1

N2 - This is a work-in-progress report of a research endeavor that deals with the design and development of a novel approach to computer-aided diagnosis (CAD) of mammographic images. With the initial emphasis being on the analysis of microcalcifications, the proposed approach defines a synergistic paradigm that utilizes new methodologies together with previously developed techniques. The new paradigm is intended to promote a higher degree of accuracy in CAD of mammograms with an increased overall throughput. The process of accomplishing these goals is initiated by the fractal encoding of the input image, which gives rise to the generation of focus-of-attention regions (FARs), that is, regions that contain anomalies. The primary thrust of this work is to demonstrate that by considering FARs, rather than the entire input image, the performances of the ensuing processes (i.e., segmentation, feature extraction, and classification) are enhanced in terms of accuracy and speed. An experimental study is included that demonstrates the impact of FAR generation on the process of microcalcification segmentation.

AB - This is a work-in-progress report of a research endeavor that deals with the design and development of a novel approach to computer-aided diagnosis (CAD) of mammographic images. With the initial emphasis being on the analysis of microcalcifications, the proposed approach defines a synergistic paradigm that utilizes new methodologies together with previously developed techniques. The new paradigm is intended to promote a higher degree of accuracy in CAD of mammograms with an increased overall throughput. The process of accomplishing these goals is initiated by the fractal encoding of the input image, which gives rise to the generation of focus-of-attention regions (FARs), that is, regions that contain anomalies. The primary thrust of this work is to demonstrate that by considering FARs, rather than the entire input image, the performances of the ensuing processes (i.e., segmentation, feature extraction, and classification) are enhanced in terms of accuracy and speed. An experimental study is included that demonstrates the impact of FAR generation on the process of microcalcification segmentation.

UR - http://www.scopus.com/inward/record.url?scp=0030411501&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030411501&partnerID=8YFLogxK

M3 - Paper

SP - 230

EP - 235

ER -