In this article, we perform a review of the state-of-the-art of hybrid machine learning in
medical imaging. We start with a short summary of the general developments of the past in …

This book constitutes the proceedings of the 9th International Workshop on Machine
Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada …

Machine learning is a technique for recognizing patterns that can be applied to medical
images. Although it is a powerful tool that can help in rendering medical diagnoses, it can be …

Background Machine learning (ML) represents a family of algorithms that has rapidly
developed within the last years in a wide variety of knowledge areas. ML is able to elucidate …

Medical imaging has evolved from a pure visualization tool to representing a primary source
of analytic approaches toward in vivo disease characterization. Hybrid imaging is an integral …

Machine learning, and deep learning in particular, is seen as both the hope and the downfall
of the medical imaging profession. Some hail the promise of computers reliably identifying …

What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …

Abstract Machine learning approaches are increasingly successful in image-based
diagnosis, disease prognosis, and risk assessment. This paper highlights new research …

The 4th International Workshop on Machine Learning in Medical Imaging (MLMI 2013) was
held at Toyoda Auditorium Complex, Nagoya, Japan, on September 22, 2013, in conjunction …

Medical imaging is becoming indispensable for patients' healthcare. Machine learning plays
an essential role in the medical imaging field, including computer-aided diagnosis, image …