AIMC Topic: Diagnostic Imaging
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A gentle introduction to deep learning in medical image processing.
Zeitschrift fur medizinische Physik
Jan 25, 2019
This paper tries to give a gentle introduction to deep learning in medical image processing, proceeding from theoretical foundations to applications. We first discuss general reasons for the popularity of deep learning, including several major breakt...
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages.
IEEE/ACM transactions on computational biology and bioinformatics
Jan 14, 2019
Segmenting bioimage based filaments is a critical step in a wide range of applications, including neuron reconstruction and blood vessel tracing. To achieve an acceptable segmentation performance, most of the existing methods need to annotate amounts...
A guide to deep learning in healthcare.
Nature medicine
Jan 7, 2019
Here we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. We describe how these computational techniques can im...
State-of-the-art review on deep learning in medical imaging.
Frontiers in bioscience (Landmark edition)
Jan 1, 2019
Deep learning (DL) is affecting each and every sphere of public and private lives and becoming a tool for daily use. The power of DL lies in the fact that it tries to imitate the activities of neurons in the neocortex of human brain where the thought...
Use of Machine Learning to Identify Follow-Up Recommendations in Radiology Reports.
Journal of the American College of Radiology : JACR
Dec 29, 2018
PURPOSE: The aims of this study were to assess follow-up recommendations in radiology reports, develop and assess traditional machine learning (TML) and deep learning (DL) models in identifying follow-up, and benchmark them against a natural language...
Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT.
IEEE journal of biomedical and health informatics
Dec 5, 2018
BACKGROUND: Deep learning has been recently applied to a multitude of computer vision and medical image analysis problems. Although recent research efforts have improved the state of the art, most of the methods cannot be easily accessed, compared or...
Artificial intelligence and medical imaging 2018: French Radiology Community white paper.
Diagnostic and interventional imaging
Nov 22, 2018
The rapid development of information technology and data processing capabilities has led to the creation of new tools known as artificial intelligence (AI). Medical applications of AI are emerging, and the French radiology community felt it was there...
Deep learning in medical imaging and radiation therapy.
Medical physics
Nov 20, 2018
The goals of this review paper on deep learning (DL) in medical imaging and radiation therapy are to (a) summarize what has been achieved to date; (b) identify common and unique challenges, and strategies that researchers have taken to address these ...
The European Federation of Organisations for Medical Physics (EFOMP) White Paper: Big data and deep learning in medical imaging and in relation to medical physics profession.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Nov 16, 2018
Big data and deep learning will profoundly change various areas of professions and research in the future. This will also happen in medicine and medical imaging in particular. As medical physicists, we should pursue beyond the concept of technical qu...
Role of the Medical Physicist in the Health Care Artificial Intelligence Revolution.
Journal of the American College of Radiology : JACR
Nov 13, 2018
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