The breast cancer as the most life-threatening disease among the woman has emerged in
the worldwide. It is supposed that the early testing and treatment for breast cancer detection …

Breast cancer detection using mammogram images at an early stage is an important step in
disease diagnostics. We propose a new method for the classification of benign or malignant …

Purpose Breast ultrasound (BUS) is one of the imaging modalities for the diagnosis and
treatment of breast cancer. However, the segmentation and classification of BUS images is a …

Traditional methods of diagnosing breast cancer (BC) suffer from human errors, are less
accurate, and consume time. A computer-aided detection (CAD) system can overcome the …

Collective improvement in the acceptable or desirable accuracy level of breast cancer image-
related pattern recognition using various schemes remains challenging. Despite the …

In this paper, feature weighting is used to develop an effective computer-aided diagnosis
system for breast cancer. Feature weighting is employed because it boosts the classification …

Background Breast cancer is a deadly disease responsible for statistical yearly global death.
Identification of cancer tumors is quite tasking, as a result, concerted efforts are thus …

Early detection and diagnosis are the key factors in decreasing the breast cancer mortality
rate in medical image analysis. A randomized learning technique called extreme learning …

Abstract Computer-Aided Diagnosis (CAD) system is preferred for automatic thyroid tumor
ultrasound image characterization instead of manual assessment by the experts …

Controlled despeckling (structure/edges/feature preservation with smoothing the
homogeneous areas) is a desired pre-processing step for the design of computer-aided …