AIMC Topic:
Image Interpretation, Computer-Assisted
Clear Filters Showing 1541 to 1550 of 2721 articles
AI-based computer-aided diagnosis (AI-CAD): the latest review to read first.
Radiological physics and technology
Jan 2, 2020
The third artificial intelligence (AI) boom is coming, and there is an inkling that the speed of its evolution is quickly increasing. In games like chess, shogi, and go, AI has already defeated human champions, and the fact that it is able to achieve...
Stand-alone artificial intelligence - The future of breast cancer screening?
Breast (Edinburgh, Scotland)
Jan 2, 2020
Although computers have had a role in interpretation of mammograms for at least two decades, their impact on performance has not lived up to expectations. However, in the last five years, the field of medical image analysis has undergone a revolution...
Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Editorial Board.
Radiology
Dec 31, 2019
Will artificial intelligence change the job of the cardiac imaging specialist?
Archives of cardiovascular diseases
Dec 30, 2019
A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.
Computational and mathematical methods in medicine
Dec 30, 2019
Magnetic resonance (MR) imaging is a widely used imaging modality for detection of brain anatomical variations caused by brain diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). AD considered as an irreversible neurodegene...
Alzheimer Disease
Reproducibility of Results
Positron-Emission Tomography
Image Interpretation, Computer-Assisted
Aged
Linear Models
Humans
Databases, Factual
Middle Aged
Male
Pattern Recognition, Automated
Image Processing, Computer-Assisted
Machine Learning
Biomarkers
Disease Progression
Neuroimaging
Magnetic Resonance Imaging
Algorithms
Diagnosis, Computer-Assisted
Brain
Discriminant Analysis
Cognitive Dysfunction
Female
Learning tree-structured representation for 3D coronary artery segmentation.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Dec 28, 2019
Extensive research has been devoted to the segmentation of the coronary artery. However, owing to its complex anatomical structure, it is extremely challenging to automatically segment the coronary artery from 3D coronary computed tomography angiogra...
A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis.
NeuroImage. Clinical
Dec 28, 2019
INTRODUCTION: Longitudinal magnetic resonance imaging (MRI) has an important role in multiple sclerosis (MS) diagnosis and follow-up. Specifically, the presence of new T2-w lesions on brain MR scans is considered a predictive biomarker for the diseas...
Are All Deep Learning Architectures Alike for Point-of-Care Ultrasound?: Evidence From a Cardiac Image Classification Model Suggests Otherwise.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Dec 24, 2019
OBJECTIVES: Little is known about optimal deep learning (DL) approaches for point-of-care ultrasound (POCUS) applications. We compared 6 popular DL architectures for POCUS cardiac image classification to determine whether an optimal DL architecture e...
Automatic Identification of Breast Ultrasound Image Based on Supervised Block-Based Region Segmentation Algorithm and Features Combination Migration Deep Learning Model.
IEEE journal of biomedical and health informatics
Dec 19, 2019
Breast cancer is a high-incidence type of cancer for women. Early diagnosis plays a crucial role in the successful treatment of the disease and the effective reduction of deaths. In this paper, deep learning technology combined with ultrasound imagin...
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Dec 19, 2019
Multi-modality based classification methods are superior to the single modality based approaches for the automatic diagnosis of the Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, most of the multi-modality based methods usuall...
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 30127
- Neural Networks, Computer 29280
- Algorithms 26267
- Deep Learning 25786
- Artificial Intelligence 23815
- Robotics 13264
- Image Processing, Computer-Assisted 9276
- Retrospective Studies 8833
- Magnetic Resonance Imaging 5975
- Reproducibility of Results 5497
- Tomography, X-Ray Computed 4622
- Support Vector Machine 4605
- Computational Biology 4125
- Brain 3919
- Computer Simulation 3823
Recent Journals
- Scientific reports 5092
- Sensors (Basel, Switzerland) 4729
- PloS one 3871
- 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