Nowadays, medical issues are growing at a higher pace than ever because of various
factors that surround the well-being of human life. This chapter deals with an important …

Achieving a high performance for the detection and characterization of architectural
distortion in screening mammograms is important for an efficient breast cancer early …

This study presents an application of artificial neural networks (ANNs) to predict the dye
removal efficiency (color and chemical oxygen demand value) of Electrocoagulation process …

This paper proposes a method to reduce the number of false-positives (FP) in a computer-
aided detection (CAD) scheme for automated detection of architectural distortion (AD) in …

Architectural distortion, the third symptom of breast cancer, is considered as the most
commonly missed abnormality. The purpose of this work is to detect suspicious regions of …

Ce travail s' intéresse à l'interprétation d'images mammographiques pour la détection des
MCs. Partant d'un prétraitement, nous proposons une première méthode basée sur la …

Breast cancer is a top killer illness for women globally, but early and effective screening can
increase their survival rate. Mammography is the tool used by a radiologist to screen for …

Breast cancer is a top killer disease for women globally. The long term survival rate of
women can be improved through early and effective screening of breast cancer cells …

Accurate detection as well as classification of the breast cancer is still an unsolved question
in the medical image processing techniques. We reviewed the existing Computer Aided …