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 …

Computer-Aided diagnosis (CAD) is a widely used technique to detect and diagnose
diseases like tumors, cancers, edemas, etc. Several critical retinal diseases like diabetic …

Contrast enhancement algorithms have been evolved through last decades to meet the
requirement of its objectives. Actually, there are two main objectives while enhancing the …

Purpose Computer‐aided diagnosis (CAD) systems on breast ultrasound (BUS) aim to
increase the efficiency and effectiveness of breast screening, hel** specialists to detect …

Purpose Screening is the predominant strategy for the early detection of breast cancer.
However, image analysis depends on the experience of the radiologist, inserting subjective …

Multiple sclerosis (MS) is a neurological demyelinating disorder affecting brain and spinal
cord by attacking the myelin sheaths of nerves. Estimation of the volumetric changes in MS …

Automated suspicious region segmentation has become a crucial need for the experts
dealing with numerous images containing contrast-based lesions in MRI. Not all solutions …

The development of computer aided diagnosis (CAD) systems for the task of tumor detection
and segmentation in breast ultrasound (BUS) images presents one of the most active …

This paper presents a study of the impact of image preprocessing techniques on the
segmentation and classification of breast lesions on ultrasound. Commonly, image …

In recent years, deep learning (DL) has become indispensable in medical image
segmentation (MIS), proven by numerous studies showcasing its effectiveness. This paper …