AIMC Topic:
Image Interpretation, Computer-Assisted
Clear Filters Showing 1661 to 1670 of 2744 articles
Justifying diagnosis decisions by deep neural networks.
Journal of biomedical informatics
Jul 6, 2019
An integrated approach is proposed across visual and textual data to both determine and justify a medical diagnosis by a neural network. As deep learning techniques improve, interest grows to apply them in medical applications. To enable a transition...
Brain Tumour Segmentation Using Convolutional Neural Network with Tensor Flow.
Asian Pacific journal of cancer prevention : APJCP
Jul 1, 2019
Introduction: The determination of tumour extent is a major challenging task in brain tumour planning and quantitative evaluation. Magnetic Resonance Imaging (MRI) is one of the non-invasive technique has emanated as a front- line diagnostic tool for...
SmartPulse, a machine learning approach for calibration-free dynamic RF shimming: Preliminary study in a clinical environment.
Magnetic resonance in medicine
Jun 30, 2019
PURPOSE: A calibration-free pulse design method is introduced to alleviate artifacts in clinical routine with parallel transmission at high field, dealing with significant inter-subject variability, found for instance in the abdomen.
Female
Reproducibility of Results
Radio Waves
Aged
Cluster Analysis
Image Processing, Computer-Assisted
Aged, 80 and over
Humans
Image Interpretation, Computer-Assisted
Young Adult
Machine Learning
Abdomen
Artifacts
Adult
Algorithms
Body Mass Index
Calibration
Male
Magnetic Resonance Imaging
Middle Aged
Automatic recognition of different types of acute leukaemia in peripheral blood by image analysis.
Journal of clinical pathology
Jun 29, 2019
AIMS: Morphological differentiation among different blast cell lineages is a difficult task and there is a lack of automated analysers able to recognise these abnormal cells. This study aims to develop a machine learning approach to predict the diagn...
Brain tumor classification using deep CNN features via transfer learning.
Computers in biology and medicine
Jun 29, 2019
Brain tumor classification is an important problem in computer-aided diagnosis (CAD) for medical applications. This paper focuses on a 3-class classification problem to differentiate among glioma, meningioma and pituitary tumors, which form three pro...
Utilization of Artificial Intelligence in Echocardiography.
Circulation journal : official journal of the Japanese Circulation Society
Jun 29, 2019
Echocardiography has a central role in the diagnosis and management of cardiovascular disease. Precise and reliable echocardiographic assessment is required for clinical decision-making. Even if the development of new technologies (3-dimentional echo...
Gastroenterologist-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-Learning Model.
Gastroenterology
Jun 25, 2019
BACKGROUND & AIMS: Capsule endoscopy has revolutionized investigation of the small bowel. However, this technique produces a video that is 8-10 hours long, so analysis is time consuming for gastroenterologists. Deep convolutional neural networks (CNN...
Deep learning for the classification of human sperm.
Computers in biology and medicine
Jun 25, 2019
BACKGROUND: Infertility is a global health concern, and couples are increasingly seeking medical assistance to achieve reproduction. Semen analysis is a primary assessment performed by a clinician, in which the morphology of the sperm population is e...
Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning.
Radiology
Jun 25, 2019
Background Coronary CT angiography contains prognostic information but the best method to extract these data remains unknown. Purpose To use machine learning to develop a model of vessel features to discriminate between patients with and without subs...
Aged, 80 and over
Young Adult
Adult
Male
Female
Reproducibility of Results
Risk Factors
Aged
Coronary Artery Disease
Image Interpretation, Computer-Assisted
Coronary Vessels
Computed Tomography Angiography
Middle Aged
Severity of Illness Index
Predictive Value of Tests
Coronary Angiography
Humans
Machine Learning
Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment.
The British journal of radiology
Jun 24, 2019
OBJECTIVE: To investigate a fully automated abdominal CT-based muscle tool in a large adult screening population.
Don't Miss the Future of Medicine
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 30140
- Neural Networks, Computer 29282
- Algorithms 26270
- Deep Learning 25792
- Artificial Intelligence 23822
- Robotics 13268
- Image Processing, Computer-Assisted 9276
- Retrospective Studies 8835
- Magnetic Resonance Imaging 5976
- Reproducibility of Results 5499
- Tomography, X-Ray Computed 4622
- Support Vector Machine 4609
- Computational Biology 4126
- Brain 3919
- Computer Simulation 3823
Recent Journals
- Scientific reports 5092
- Sensors (Basel, Switzerland) 4729
- PloS one 3884
- Neural networks : the official journal of the International Neural Network Society 2842
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1779
- 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 1224
- IEEE journal of biomedical and health informatics 1081
- Journal of chemical information and modeling 934
- Nature communications 854
- Briefings in bioinformatics 849
- Bioinformatics (Oxford, England) 847
- Computer methods and programs in biomedicine 844
- IEEE transactions on neural networks and learning systems 780