AIMC Topic:
Image Interpretation, Computer-Assisted
Clear Filters Showing 1971 to 1980 of 2747 articles
MuDeRN: Multi-category classification of breast histopathological image using deep residual networks.
Artificial intelligence in medicine
Apr 26, 2018
MOTIVATION: Identifying carcinoma subtype can help to select appropriate treatment options and determining the subtype of benign lesions can be beneficial to estimate the patients' risk of developing cancer in the future. Pathologists' assessment of ...
Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation.
IEEE transactions on bio-medical engineering
Apr 19, 2018
OBJECTIVE: Deep learning based methods for retinal vessel segmentation are usually trained based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to-pixel matching between a predicted probability map and the correspo...
Segmentation of corneal endothelium images using a U-Net-based convolutional neural network.
Artificial intelligence in medicine
Apr 19, 2018
Diagnostic information regarding the health status of the corneal endothelium may be obtained by analyzing the size and the shape of the endothelial cells in specular microscopy images. Prior to the analysis, the endothelial cells need to be extracte...
Phenotypic Clustering of Left Ventricular Diastolic Function Parameters: Patterns and Prognostic Relevance.
JACC. Cardiovascular imaging
Apr 18, 2018
OBJECTIVES: This study sought to explore the natural clustering of echocardiographic variables used for assessing left ventricular (LV) diastolic dysfunction (DD) in order to isolate high-risk phenotypic patterns and assess their prognostic significa...
Phenotype
Retrospective Studies
Female
Risk Factors
Humans
Machine Learning
Echocardiography, Doppler, Color
Echocardiography, Doppler, Pulsed
Image Interpretation, Computer-Assisted
Disease Progression
Pattern Recognition, Automated
Male
Cluster Analysis
Diastole
Cause of Death
Ventricular Function, Left
Predictive Value of Tests
Middle Aged
Hospitalization
Heart Ventricles
Risk Assessment
Progression-Free Survival
Aged
Ventricular Dysfunction, Left
Aged, 80 and over
An Automatic Diagnosis Method of Facial Acne Vulgaris Based on Convolutional Neural Network.
Scientific reports
Apr 11, 2018
In this paper, we present a new automatic diagnosis method for facial acne vulgaris which is based on convolutional neural networks (CNNs). To overcome the shortcomings of previous methods which were the inability to classify enough types of acne vul...
A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.
PloS one
Apr 3, 2018
Over 26 million people worldwide suffer from heart failure annually. When the cause of heart failure cannot be identified, endomyocardial biopsy (EMB) represents the gold-standard for the evaluation of disease. However, manual EMB interpretation has ...
A survey on Barrett's esophagus analysis using machine learning.
Computers in biology and medicine
Mar 30, 2018
This work presents a systematic review concerning recent studies and technologies of machine learning for Barrett's esophagus (BE) diagnosis and treatment. The use of artificial intelligence is a brand new and promising way to evaluate such disease. ...
Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks.
IEEE journal of biomedical and health informatics
Mar 26, 2018
Early and accurate diagnosis of interstitial lung diseases (ILDs) is crucial for making treatment decisions, but can be challenging even for experienced radiologists. The diagnostic procedure is based on the detection and recognition of the different...
Model-Based Feature Augmentation for Cardiac Ablation Target Learning From Images.
IEEE transactions on bio-medical engineering
Mar 22, 2018
GOAL: We present a model-based feature augmentation scheme to improve the performance of a learning algorithm for the detection of cardiac radio-frequency ablation (RFA) targets with respect to learning from images alone.
An ensemble learning system for a 4-way classification of Alzheimer's disease and mild cognitive impairment.
Journal of neuroscience methods
Mar 22, 2018
Discriminating Alzheimer's disease (AD) from its prodromal form, mild cognitive impairment (MCI), is a significant clinical problem that may facilitate early diagnosis and intervention, in which a more challenging issue is to classify MCI subtypes, i...
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