Analysis and Classification of Kidney Focal Lesions From B-mode Ultrasound Images

Abstract

Recent developments in the computerized analysis of medical images are expected to aid radiologists and other healthcare professionals in various diagnostic tasks of medical image interpretation. Mostly the interpretations of medical images are performed by radiologists. The term computer aided diagnosis (CAD) is defined as, the diagnosis made by the radiologists using the output from a computerized analysis of medical images. This is considered as a “second opinion” in detecting lesions, assessing extent of disease and making diagnostic decisions for improving the interpretation component of medical imaging. Lately, one of the leading research topics in medical imaging and diagnostic radiology is a CAD system. The elementary idea of CAD is to provide a computer output to assist radiologists and other health care experts in reading and understanding the image and to differentiate between various anomalies. With CAD, the final diagnosis is made by the radiologist. Numerous kind of CAD systems are advanced for the detection and classification of various lesions in medical imaging, including X- rays, MRI, CT, and US. It has been noticed that past CAD implementations does not include classification of focal kidney lesions from B-Mode ultrasound images.