AIMC Topic:
Image Interpretation, Computer-Assisted
Clear Filters Showing 1961 to 1970 of 2747 articles
Deep learning for staging liver fibrosis on CT: a pilot study.
European radiology
May 14, 2018
OBJECTIVES: To investigate whether liver fibrosis can be staged by deep learning techniques based on CT images.
Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort.
Computers in biology and medicine
May 12, 2018
MOTIVATION: The carotid intima-media thickness (cIMT) is an important biomarker for cardiovascular diseases and stroke monitoring. This study presents an intelligence-based, novel, robust, and clinically-strong strategy that uses a combination of dee...
DRINet for Medical Image Segmentation.
IEEE transactions on medical imaging
May 10, 2018
Convolutional neural networks (CNNs) have revolutionized medical image analysis over the past few years. The U-Net architecture is one of the most well-known CNN architectures for semantic segmentation and has achieved remarkable successes in many di...
Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans.
Computers in biology and medicine
May 8, 2018
Osteoporotic vertebral fractures (OVFs) are prevalent in older adults and are associated with substantial personal suffering and socio-economic burden. Early diagnosis and treatment of OVFs are critical to prevent further fractures and morbidity. How...
Machine learning based brain tumour segmentation on limited data using local texture and abnormality.
Computers in biology and medicine
May 7, 2018
Brain tumour segmentation in medical images is a very challenging task due to the large variety in tumour shape, position, appearance, scanning modalities and scanning parameters. Most existing segmentation algorithms use information from four differ...
Automated assessment of levodopa-induced dyskinesia: Evaluating the responsiveness of video-based features.
Parkinsonism & related disorders
May 5, 2018
INTRODUCTION: Technological solutions for quantifying Parkinson's disease (PD) symptoms may provide an objective means to track response to treatment, including side effects such as levodopa-induced dyskinesia. Vision-based systems are advantageous a...
MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 3, 2018
Accurate quantification of white matter hyperintensities (WMH) from Magnetic Resonance Imaging (MRI) is a valuable tool for the analysis of normal brain ageing or neurodegeneration. Reliable automatic extraction of WMH lesions is challenging due to t...
Technical Note: A deep learning-based autosegmentation of rectal tumors in MR images.
Medical physics
May 3, 2018
PURPOSE: Manual contouring of gross tumor volumes (GTV) is a crucial and time-consuming process in rectum cancer radiotherapy. This study aims to develop a simple deep learning-based autosegmentation algorithm to segment rectal tumors on T2-weighted ...
Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features.
IEEE journal of biomedical and health informatics
May 1, 2018
The presence of certain clinical dermoscopic features within a skin lesion may indicate melanoma, and automatically detecting these features may lead to more quantitative and reproducible diagnoses. We reformulate the task of classifying clinical der...
Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis.
Computers in biology and medicine
Apr 27, 2018
A large amount of digital image material is routinely captured during esophagogastroduodenoscopies but, for the most part, is not used for confirming the diagnosis process of celiac disease which is primarily based on histological examination of biop...
Pattern Recognition, Automated
Image Processing, Computer-Assisted
Gastroscopy
Duodenum
Algorithms
Humans
Celiac Disease
Decision Making
Biopsy
Endoscopy
Neural Networks, Computer
Image Interpretation, Computer-Assisted
Diagnosis, Computer-Assisted
Machine Learning
Observer Variation
Deep Learning
Automation
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30540
- Neural Networks, Computer 29463
- Algorithms 26500
- Deep Learning 25983
- Artificial Intelligence 24008
- Robotics 13278
- Image Processing, Computer-Assisted 9374
- Retrospective Studies 8929
- Magnetic Resonance Imaging 6071
- Reproducibility of Results 5535
- Tomography, X-Ray Computed 4676
- Support Vector Machine 4639
- Computational Biology 4186
- Brain 3988
- Computer Simulation 3855
Recent Journals
- Scientific reports 5361
- Sensors (Basel, Switzerland) 4794
- PloS one 3936
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1822
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1118
- Journal of chemical information and modeling 960
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 854
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 817