AIMC Topic:
Image Interpretation, Computer-Assisted
Clear Filters Showing 2061 to 2070 of 2747 articles
Machine learning and graph analytics in computational biomedicine.
Artificial intelligence in medicine
Sep 7, 2017
Unsupervised Segmentation of 5D Hyperpolarized Carbon-13 MRI Data Using a Fuzzy Markov Random Field Model.
IEEE transactions on medical imaging
Sep 4, 2017
Hyperpolarized MRI with C-labelled compounds is an emerging clinical technique allowing in vivo metabolic processes to be characterized non-invasively. Accurate quantification of C data, both for clinical and research purposes, typically relies on th...
A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme.
Scientific reports
Sep 4, 2017
Traditional radiomics models mainly rely on explicitly-designed handcrafted features from medical images. This paper aimed to investigate if deep features extracted via transfer learning can generate radiomics signatures for prediction of overall sur...
Humans
Middle Aged
Prognosis
Deep Learning
Female
Adolescent
Reproducibility of Results
Magnetic Resonance Imaging
Child
Aged
Glioblastoma
Aged, 80 and over
Image Interpretation, Computer-Assisted
ROC Curve
Young Adult
Kaplan-Meier Estimate
Image Processing, Computer-Assisted
Adult
Nomograms
Male
Models, Theoretical
Effects of spatial fMRI resolution on the classification of naturalistic movies.
NeuroImage
Aug 24, 2017
Studies involving multivariate pattern analysis (MVPA) of BOLD fMRI data generally attribute the success of the information-theoretic approach to BOLD signal contrast on the fine spatial scale of millimeters facilitating the classification or decodin...
Phase contrast cell detection using multilevel classification.
International journal for numerical methods in biomedical engineering
Aug 23, 2017
In this paper, we propose a fully automated learning-based approach for detecting cells in time-lapse phase contrast images. The proposed system combines 2 machine learning approaches to achieve bottom-up image segmentation. We apply pixel-wise class...
Artificial Intelligence: Threat or Boon to Radiologists?
Journal of the American College of Radiology : JACR
Aug 19, 2017
The development and integration of machine learning/artificial intelligence into routine clinical practice will significantly alter the current practice of radiology. Changes in reimbursement and practice patterns will also continue to affect radiolo...
Learning and combining image neighborhoods using random forests for neonatal brain disease classification.
Medical image analysis
Aug 9, 2017
It is challenging to characterize and classify normal and abnormal brain development during early childhood. To reduce the complexity of heterogeneous data population, manifold learning techniques are increasingly applied, which find a low-dimensiona...
Non-proliferative diabetic retinopathy symptoms detection and classification using neural network.
Journal of medical engineering & technology
Aug 8, 2017
Diabetic retinopathy (DR) causes blindness in the working age for people with diabetes in most countries. The increasing number of people with diabetes worldwide suggests that DR will continue to be major contributors to vision loss. Early detection ...
Fluorescein Angiography
Symptom Assessment
Disease Progression
Decision Support Systems, Clinical
Image Interpretation, Computer-Assisted
Humans
Pattern Recognition, Automated
Neural Networks, Computer
Diabetic Retinopathy
Female
Sensitivity and Specificity
Reproducibility of Results
Male
Aged
Middle Aged
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks.
IEEE journal of biomedical and health informatics
Aug 7, 2017
Breast lesion detection using ultrasound imaging is considered an important step of computer-aided diagnosis systems. Over the past decade, researchers have demonstrated the possibilities to automate the initial lesion detection. However, the lack of...
Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks.
Physics in medicine and biology
Jul 24, 2017
Automated methods for prostate cancer (PCa) diagnosis in multi-parametric magnetic resonance imaging (MP-MRIs) are critical for alleviating requirements for interpretation of radiographs while helping to improve diagnostic accuracy (Artan et al 2010 ...
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 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