Title:Automated Detection of Breast Tumor in Different Imaging Modalities: A Review
Volume: 13
Author(s): Bushra Mughal*Muhammad Sharif
Affiliation:
- Department of Computer Science, COMSATS Institute of Information Technology, Wah,Pakistan
Keywords:
Benign, CAD, imaging modalities mammograms, MR images, malignant, US images.
Abstract: Breast cancer is a familiar disease in the female; its effects are, however, not so much
diverse in males. In females, the death rate is gradually increasing due to this disease because rarely
its sign and symptoms appear at an initial phase that makes it hard to detect at an early stage. As
breast cancer has developed into the rapidly growing disease among women, numerous detection
methods, algorithms and new technologies and machinery are introduced in the market for its early
detection. Computer aided diagnosis and detection system proved to be an efficient tool for early
detection of breast tumor. Various techniques have been presented by researchers for the improved
performance of CAD systems for diagnosis/detection of breast masses. The aim of this rese arch
work is to present a concise review of different imaging modalities and techniques with their performance
assessment in different stages of an automated or computer aided detection system (CAD)
for breast tumor detection. The most commonly used imaging modalities are discussed like mammography,
MRI, and ultrasound for breast cancer detection and diagnostic purposes. A detailed
discussion of different imaging modalities, datasets, performance measures and various techniques
used for the automated detection of a breast tumor with recent advances and evaluation of their performance
in different steps of computer-aided diagnosis and detection systems is presented here.
