Abstract Machine learning (ML) algorithms have made a tremendous impact in the field of
medical imaging. While medical imaging datasets have been growing in size, a challenge …

Multiple-instance learning (MIL) is a recent machine-learning paradigm that is particularly
well suited to medical image and video analysis (MIVA) tasks. Based solely on class labels …

Early identification of diabetics using retinopathy images is still a difficult challenge. Many
illness diagnosis techniques are accomplished by using the blood vessels present in fundus …

This book covers the fundamentals in designing and deploying techniques using deep
architectures. It is intended to serve as a beginner's guide to engineers or students who want …

The diabetic retinopathy is the main reason of vision loss in people. Medical experts
recognize some clinical, geometrical and haemodynamic features of diabetic retinopathy …

Diabetic retinopathy (DR) is a fast-spreading disease across the globe, which is caused by
diabetes. The DR may lead the diabetic patients to complete vision loss. In this scenario …

Curability of diabetic retinopathy (DR) abnormalities highly rely on regular monitoring, early-
stage diagnosis and timely treatment. Detection and analysis of variation in eye images can …

Diabetic Retinopathy (DR) is a non-negligible eye disease among patients with Diabetes
Mellitus, and automatic retinal image analysis algorithm for the DR screening is in high …

As a weakly supervised learning technique, multiple instance learning (MIL) has shown an
advantage over supervised learning methods for automatic detection of diabetic retinopathy …

This paper describes a computer-aided detection and diagnosis system for breast cancer,
the most common form of cancer among women, using mammography. The system relies on …