AIMC Topic:
Databases, Factual
Clear Filters Showing 1761 to 1770 of 2956 articles
Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images.
IEEE transactions on bio-medical engineering
Feb 22, 2019
OBJECTIVE: Nucleus recognition is a critical yet challenging step in histopathology image analysis, for example, in Ki67 immunohistochemistry stained images. Although many automated methods have been proposed, most use a multi-stage processing pipeli...
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography.
IEEE transactions on medical imaging
Feb 22, 2019
Delineation of the cardiac structures from 2D echocardiographic images is a common clinical task to establish a diagnosis. Over the past decades, the automation of this task has been the subject of intense research. In this paper, we evaluate how far...
Comparison of linear model and artificial neural network using antler beam diameter and length of white-tailed deer (Odocoileus virginianus) dataset.
PloS one
Feb 22, 2019
Evaluation of harvest data remains one of the most important sources of information in the development of strategies to manage regional populations of white-tailed deer. While descriptive statistics and simple linear models are utilized extensively, ...
A deep learning approach for real-time detection of sleep spindles.
Journal of neural engineering
Feb 21, 2019
OBJECTIVE: Sleep spindles have been implicated in memory consolidation and synaptic plasticity during NREM sleep. Detection accuracy and latency in automatic spindle detection are critical for real-time applications.
Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations.
Journal of medical Internet research
Feb 20, 2019
BACKGROUND: The amount of medical and clinical-related information on the Web is increasing. Among the different types of information available, social media-based data obtained directly from people are particularly valuable and are attracting signif...
Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients.
PloS one
Feb 20, 2019
Currently in patients with bladder cancer, various clinical evaluations (imaging, operative findings at transurethral resection and radical cystectomy, pathology) are collectively used to determine disease status and prognosis, and recommend neoadjuv...
Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals.
Computers in biology and medicine
Feb 19, 2019
In motor imagery (MI) based brain-computer interface (BCI) signal analysis, mu and beta rhythms of electroencephalograms (EEGs) are widely investigated due to their high temporal resolution and capability to define the different movement-related ment...
Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.
IEEE transactions on medical imaging
Feb 18, 2019
Glaucoma is a leading cause of irreversible blindness. Accurate segmentation of the optic disc (OD) and optic cup (OC) from fundus images is beneficial to glaucoma screening and diagnosis. Recently, convolutional neural networks demonstrate promising...
FunMappOne: a tool to hierarchically organize and visually navigate functional gene annotations in multiple experiments.
BMC bioinformatics
Feb 15, 2019
BACKGROUND: Functional annotation of genes is an essential step in omics data analysis. Multiple databases and methods are currently available to summarize the functions of sets of genes into higher level representations, such as ontologies and molec...
End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning.
IEEE transactions on pattern analysis and machine intelligence
Feb 14, 2019
We study active object tracking, where a tracker takes visual observations (i.e., frame sequences) as input and produces the corresponding camera control signals as output (e.g., move forward, turn left, etc.). Conventional methods tackle tracking an...
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 30532
- Neural Networks, Computer 29460
- Algorithms 26494
- Deep Learning 25977
- Artificial Intelligence 24000
- Robotics 13278
- Image Processing, Computer-Assisted 9372
- Retrospective Studies 8928
- Magnetic Resonance Imaging 6068
- Reproducibility of Results 5535
- Tomography, X-Ray Computed 4675
- Support Vector Machine 4639
- Computational Biology 4185
- Brain 3986
- Computer Simulation 3853
Recent Journals
- Scientific reports 5345
- Sensors (Basel, Switzerland) 4794
- PloS one 3930
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1817
- 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 1113
- Journal of chemical information and modeling 957
- Nature communications 889
- Computer methods and programs in biomedicine 862
- Bioinformatics (Oxford, England) 854
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 816