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Discriminative margin-sensitive autoencoder for collective multi-view disease analysis.
Neural networks : the official journal of the International Neural Network Society
Dec 2, 2019
Medical prediction is always collectively determined based on bioimages collected from different sources or various clinical characterizations described from multiple physiological features. Notably, learning intrinsic structures from multiple hetero...
Analysis of Decision Tree and K-Nearest Neighbor Algorithm in the Classification of Breast Cancer.
Asian Pacific journal of cancer prevention : APJCP
Dec 1, 2019
OBJECTIVE: The death rate of breast tumour is falling as there is progress in its research area. However, it is the most common disease among women. It is a great challenge in designing a machine learning model to evaluate the performance of the clas...
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture.
Neural networks : the official journal of the International Neural Network Society
Nov 30, 2019
A deep learning classifier for detecting seizures in neonates is proposed. This architecture is designed to detect seizure events from raw electroencephalogram (EEG) signals as opposed to the state-of-the-art hand engineered feature-based representat...
Who is the Winner? Memristive-CMOS Hybrid Modules: CNN-LSTM Versus HTM.
IEEE transactions on biomedical circuits and systems
Nov 28, 2019
Hierarchical, modular and sparse information processing are signature characteristics of biological neural networks. These aspects have been the backbone of several artificial neural network designs of the brain-like networks, including Hierarchical ...
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.
Artificial intelligence in medicine
Nov 27, 2019
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an important role in diagnosis and grading of brain tumors. Although manual DCE biomarker extraction algorithms boost the diagnostic yield of DCE-MRI by providing quantitative infor...
Brain age prediction using deep learning uncovers associated sequence variants.
Nature communications
Nov 27, 2019
Machine learning algorithms can be trained to estimate age from brain structural MRI. The difference between an individual's predicted and chronological age, predicted age difference (PAD), is a phenotype of relevance to aging and brain disease. Here...
Latent Dirichlet Allocation in predicting clinical trial terminations.
BMC medical informatics and decision making
Nov 27, 2019
BACKGROUND: This study used natural language processing (NLP) and machine learning (ML) techniques to identify reliable patterns from within research narrative documents to distinguish studies that complete successfully, from the ones that terminate....
Building an Otoscopic screening prototype tool using deep learning.
Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale
Nov 26, 2019
BACKGROUND: Otologic diseases are often difficult to diagnose accurately for primary care providers. Deep learning methods have been applied with great success in many areas of medicine, often outperforming well trained human observers. The aim of th...
Person identification using fusion of iris and periocular deep features.
Neural networks : the official journal of the International Neural Network Society
Nov 23, 2019
A novel method for person identification based on the fusion of iris and periocular biometrics has been proposed in this paper. The challenges for image acquisition for Near-Infrared or Visual Wavelength lights under constrained and unconstrained env...
Towards near real-time assessment of surgical skills: A comparison of feature extraction techniques.
Computer methods and programs in biomedicine
Nov 19, 2019
BACKGROUND AND OBJECTIVE: Surgical skill assessment aims to objectively evaluate and provide constructive feedback for trainee surgeons. Conventional methods require direct observation with assessment from surgical experts which are both unscalable a...
Algorithms
Databases, Factual
Reproducibility of Results
Cluster Analysis
Principal Component Analysis
Deep Learning
Clinical Competence
Humans
Neural Networks, Computer
Machine Learning
Surgery, Computer-Assisted
Robotic Surgical Procedures
Automation
General Surgery
Sutures
Education, Medical, Graduate
Benchmarking
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