The power of deep learning in simplifying feature selection for hepatocellular carcinoma: a review.

Background: Hepatocellular Carcinoma (HCC) is a highly aggressive, prevalent, and deadly type of liver cancer. With the advent of deep learning techniques, significant advancements have been made in simplifying and optimizing the feature selection process.

Objective: Our scoping review presents an overview of the various deep learning models and algorithms utilized to address feature selection for HCC.

A novel Gray-Scale spatial exploitation learning Net for COVID-19 by crawling Internet resources.

Today, the earth planet suffers from the decay of active pandemic COVID-19 which motivates scientists and researchers to detect and diagnose the infected people. Chest X-ray (CXR) image is a common utility tool for detection. Even the CXR suffers from low informative details about COVID-19 patches; the computer vision helps to overcome it through grayscale spatial exploitation analysis.