The computer-based approach is required for the non-invasive detection of chronic liver
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …

Medical image analysis plays a pivotal role in the evaluation of diseases, including
screening, surveillance, diagnosis, and prognosis. Liver is one of the major organs …

In present scenario, hematological disorders of leukocyte (WBC) are very frequent in
medical practices. This work proposes a novel technique to differentiate ALL (acute …

In current consequence of haematology, blood cancer ie acute lymphoblastic leukemia is
very frequently founded in medical practice, which is characterized by over activation and …

Early prediction of breast density is clinically significant as there is an association between
the risk of breast cancer development and breast density. In the present work, the …

Colorectal cancer is one common digestive malignancy, and the most common approach of
blood metastasis of colorectal cancer is through the portal vein system to the liver. Early …

Early detection of medical renal disease is important as the same may lead to chronic kidney
disease which is an irreversible stage. The present work proposes an efficient decision …

A neural network ensemble (NNE) based computer-aided diagnostic (CAD) system to assist
radiologists in differential diagnosis between focal liver lesions (FLLs), including (1) typical …

Ultrasound (US) is often used to diagnose liver masses. Ensemble learning has recently
been commonly used for image classification, but its detailed methods are not fully …

Artificial intelligence (AI), especially deep learning, is gaining extensive attention for its
excellent performance in medical image analysis. It can automatically make a quantitative …