IEEE

A Hybrid Feature Extraction and Classification Framework for Depression Detection using Deep Learning and Machine Learning Techniques

Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...

Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
IEEE

Dual PPG-Based Blood Flow Abnormality Detection Using Deep Learning

Abstract: This paper presents a novel system for predicting nonuniform blood flow using dual Photoplethysmography (PPG) signals and deep learning. The hardware comprises two PPG sensors strategically ...