COMPUTER-AIDED BREAST CANCER DETECTION AND DIAGNOSIS FROM DIGITAL MAMMOGRAMS
Mugahed Ali Shawqi Al-antari;
Abstract
Keywords:
Computer-Aided Detection; Computer-Aided Diagnosis; Cohen-k factor; Peripheral Equalization; Receiver Operator Characteristic Curve.
Summary:
Computer-aided detection (CADe) and diagnosis (CADx) systems are emerging technologies using to help radiologists to interpret medical images. In this study, first we applied an image processing technique for peripheral region enhancement. Then a CADe and CADx systems are developed and applied to the standard MIAS and DDSM databases for classification of masses. Results have shown that SFS was the best for both CAD systems and almost all of samples were correctly classified with MIAS database, while the DDSM database results shown 98.67% agreement.
Computer-Aided Detection; Computer-Aided Diagnosis; Cohen-k factor; Peripheral Equalization; Receiver Operator Characteristic Curve.
Summary:
Computer-aided detection (CADe) and diagnosis (CADx) systems are emerging technologies using to help radiologists to interpret medical images. In this study, first we applied an image processing technique for peripheral region enhancement. Then a CADe and CADx systems are developed and applied to the standard MIAS and DDSM databases for classification of masses. Results have shown that SFS was the best for both CAD systems and almost all of samples were correctly classified with MIAS database, while the DDSM database results shown 98.67% agreement.
Other data
| Title | COMPUTER-AIDED BREAST CANCER DETECTION AND DIAGNOSIS FROM DIGITAL MAMMOGRAMS | Other Titles | كشف و تشخيص سرطان الثدي بمساعدة الحاسوب من صور أشعة الثدي الرقمية | Authors | Mugahed Ali Shawqi Al-antari | Issue Date | 2015 |
Recommend this item
Similar Items from Core Recommender Database
Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.