Early detection of masses in digitized mammograms using texture features and neuro-fuzzy model

Noha Youssry; Fatma E.Z. Abou-Chadi; Alaa M. El-Sayad

doi:10.1109/NRSC.2003.1217380

Early detection of masses in digitized mammograms using texture features and neuro-fuzzy model

Noha Youssry, Fatma E.Z. Abou-Chadi, Alaa M. El-Sayad

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

A neuro-fuzzy model for fast detection of candidate circumscribed masses in digitized mammograms is presented. The breast tissue is scanned using variable window size, for each sub-image co-occurrence matrices in different orientations (θ=0°, 45°, 90° and 135°) are calculated and texture features are estimated for each co-occurrence matrix, then the features are used to train neuro-fuzzy models. The classification results reach 100% for abnormal cases and 80% for normal ones.

Original language	English
Title of host publication	Proceedings of the 20th National Radio Science Conference, NRSC 2003
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	K21-K29
ISBN (Electronic)	9775031753
DOIs	https://doi.org/10.1109/NRSC.2003.1217380
State	Published - 2003
Externally published	Yes
Event	20th National Radio Science Conference, NRSC 2003 - Cairo, Egypt Duration: 18 Mar 2003 → 20 Mar 2003

Publication series

Name	National Radio Science Conference, NRSC, Proceedings
Volume	2003-January

Conference

Conference	20th National Radio Science Conference, NRSC 2003
Country/Territory	Egypt
City	Cairo
Period	18/03/03 → 20/03/03

Keywords

Mammography
Mass detection
Neuro-fuzzy
Texture analysis

Access to Document

10.1109/NRSC.2003.1217380

Cite this

Youssry, N., Abou-Chadi, F. E. Z., & El-Sayad, A. M. (2003). Early detection of masses in digitized mammograms using texture features and neuro-fuzzy model. In Proceedings of the 20th National Radio Science Conference, NRSC 2003 (pp. K21-K29). Article 1217380 (National Radio Science Conference, NRSC, Proceedings; Vol. 2003-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NRSC.2003.1217380

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title = "Early detection of masses in digitized mammograms using texture features and neuro-fuzzy model",

abstract = "A neuro-fuzzy model for fast detection of candidate circumscribed masses in digitized mammograms is presented. The breast tissue is scanned using variable window size, for each sub-image co-occurrence matrices in different orientations (θ=0°, 45°, 90° and 135°) are calculated and texture features are estimated for each co-occurrence matrix, then the features are used to train neuro-fuzzy models. The classification results reach 100\% for abnormal cases and 80\% for normal ones.",

keywords = "Mammography, Mass detection, Neuro-fuzzy, Texture analysis",

author = "Noha Youssry and Abou-Chadi, \{Fatma E.Z.\} and El-Sayad, \{Alaa M.\}",

year = "2003",

doi = "10.1109/NRSC.2003.1217380",

language = "English",

series = "National Radio Science Conference, NRSC, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "K21--K29",

booktitle = "Proceedings of the 20th National Radio Science Conference, NRSC 2003",

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note = "20th National Radio Science Conference, NRSC 2003 ; Conference date: 18-03-2003 Through 20-03-2003",

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Youssry, N, Abou-Chadi, FEZ & El-Sayad, AM 2003, Early detection of masses in digitized mammograms using texture features and neuro-fuzzy model. in Proceedings of the 20th National Radio Science Conference, NRSC 2003., 1217380, National Radio Science Conference, NRSC, Proceedings, vol. 2003-January, Institute of Electrical and Electronics Engineers Inc., pp. K21-K29, 20th National Radio Science Conference, NRSC 2003, Cairo, Egypt, 18/03/03. https://doi.org/10.1109/NRSC.2003.1217380

Early detection of masses in digitized mammograms using texture features and neuro-fuzzy model. / Youssry, Noha; Abou-Chadi, Fatma E.Z.; El-Sayad, Alaa M.
Proceedings of the 20th National Radio Science Conference, NRSC 2003. Institute of Electrical and Electronics Engineers Inc., 2003. p. K21-K29 1217380 (National Radio Science Conference, NRSC, Proceedings; Vol. 2003-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Abou-Chadi, Fatma E.Z.

AU - El-Sayad, Alaa M.

PY - 2003

Y1 - 2003

N2 - A neuro-fuzzy model for fast detection of candidate circumscribed masses in digitized mammograms is presented. The breast tissue is scanned using variable window size, for each sub-image co-occurrence matrices in different orientations (θ=0°, 45°, 90° and 135°) are calculated and texture features are estimated for each co-occurrence matrix, then the features are used to train neuro-fuzzy models. The classification results reach 100% for abnormal cases and 80% for normal ones.

AB - A neuro-fuzzy model for fast detection of candidate circumscribed masses in digitized mammograms is presented. The breast tissue is scanned using variable window size, for each sub-image co-occurrence matrices in different orientations (θ=0°, 45°, 90° and 135°) are calculated and texture features are estimated for each co-occurrence matrix, then the features are used to train neuro-fuzzy models. The classification results reach 100% for abnormal cases and 80% for normal ones.

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T3 - National Radio Science Conference, NRSC, Proceedings

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Youssry N, Abou-Chadi FEZ, El-Sayad AM. Early detection of masses in digitized mammograms using texture features and neuro-fuzzy model. In Proceedings of the 20th National Radio Science Conference, NRSC 2003. Institute of Electrical and Electronics Engineers Inc. 2003. p. K21-K29. 1217380. (National Radio Science Conference, NRSC, Proceedings). doi: 10.1109/NRSC.2003.1217380

Early detection of masses in digitized mammograms using texture features and neuro-fuzzy model

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