This article presents a systematic review of the current computational technologies applied
to medical images for the detection, segmentation, and classification of strokes. Besides …

Chronic kidney disease (CKD) can be treated if it is detected early, but as the disease
progresses, recovery becomes impossible. Eventually, renal replacement therapy such as …

Myocardial Infarction (MI) or acute MI (AMI) is one of the leading causes of death worldwide.
Precise and timely identification of MI and extent of muscle damage helps in early treatment …

Many computer aided diagnosis (CAD) systems help radiologist on difficult task of mass
detection in a breast mammogram and, besides, they also provide interpretation about …

Osteoarthritis and rheumatoid are most common form of arthritis disorder, affecting millions
of people worldwide. This article presents a computer aided detection system (CAD) for …

Present study proposes a fast, accurate and automated segmentation approach of
mammographic images using kernel based fuzzy c-means (FCM) clustering technique. This …

Neuroimaging plays an important role in the diagnosis brain lesions such as tumors, strokes
and infections. Within this context, magnetic resonance diffusion-weighted imaging (DWI) is …

Cross-sectional view echocardiography is an efficient non-invasive diagnostic tool for
characterizing Myocardial Infarction (MI) and stages of expansion leading to heart failure. An …

This chapter describes technical considerations and current and future clinical applications
of lesion detection using machine learning in the clinical setting. Lesion detection is central …

Breast Cancer is one of the most common diseases that are found in women. The number of
women getting affected by cancer is increasing year by year. Detecting cancer in the late …