AIMC Topic: ROC Curve
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Machine Learning-based Texture Analysis of Contrast-enhanced MR Imaging to Differentiate between Glioblastoma and Primary Central Nervous System Lymphoma.
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
May 16, 2018
PURPOSE: Although advanced MRI techniques are increasingly available, imaging differentiation between glioblastoma and primary central nervous system lymphoma (PCNSL) is sometimes confusing. We aimed to evaluate the performance of image classificatio...
Machine learning: a useful radiological adjunct in determination of a newly diagnosed glioma's grade and IDH status.
Journal of neuro-oncology
May 16, 2018
INTRODUCTION: Machine learning methods have been introduced as a computer aided diagnostic tool, with applications to glioma characterisation on MRI. Such an algorithmic approach may provide a useful adjunct for a rapid and accurate diagnosis of a gl...
Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network.
Computational intelligence and neuroscience
May 15, 2018
Feature of event-related potential (ERP) has not been completely understood and illiteracy problem remains unsolved. To this end, P300 peak has been used as the feature of ERP in most brain-computer interface applications, but subjects who do not sho...
Deep learning for staging liver fibrosis on CT: a pilot study.
European radiology
May 14, 2018
OBJECTIVES: To investigate whether liver fibrosis can be staged by deep learning techniques based on CT images.
Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort.
Computers in biology and medicine
May 12, 2018
MOTIVATION: The carotid intima-media thickness (cIMT) is an important biomarker for cardiovascular diseases and stroke monitoring. This study presents an intelligence-based, novel, robust, and clinically-strong strategy that uses a combination of dee...
Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome.
Computers in biology and medicine
May 4, 2018
Prenatal screening generates a great amount of data that is used for predicting risk of various disorders. Prenatal risk assessment is based on multiple clinical variables and overall performance is defined by how well the risk algorithm is optimized...
Prediction of Tissue Outcome and Assessment of Treatment Effect in Acute Ischemic Stroke Using Deep Learning.
Stroke
May 2, 2018
BACKGROUND AND PURPOSE: Treatment options for patients with acute ischemic stroke depend on the volume of salvageable tissue. This volume assessment is currently based on fixed thresholds and single imagine modalities, limiting accuracy. We wish to d...
Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features.
IEEE journal of biomedical and health informatics
May 1, 2018
The presence of certain clinical dermoscopic features within a skin lesion may indicate melanoma, and automatically detecting these features may lead to more quantitative and reproducible diagnoses. We reformulate the task of classifying clinical der...
Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.
Journal of cardiovascular computed tomography
Apr 30, 2018
INTRODUCTION: Machine learning (ML) is a field in computer science that demonstrated to effectively integrate clinical and imaging data for the creation of prognostic scores. The current study investigated whether a ML score, incorporating only the 1...
Plaque, Atherosclerotic
Computed Tomography Angiography
Coronary Stenosis
Coronary Artery Disease
Myocardial Infarction
Female
Coronary Vessels
Reproducibility of Results
Predictive Value of Tests
Multidetector Computed Tomography
Middle Aged
Risk Factors
Area Under Curve
Risk Assessment
Humans
Aged
Coronary Angiography
Severity of Illness Index
Machine Learning
Male
Radiographic Image Interpretation, Computer-Assisted
Time Factors
Algorithms
Registries
ROC Curve
Prognosis
Automated pixel-wise brain tissue segmentation of diffusion-weighted images via machine learning.
NMR in biomedicine
Apr 26, 2018
The diffusion-weighted (DW) MR signal sampled over a wide range of b-values potentially allows for tissue differentiation in terms of cellularity, microstructure, perfusion, and T relaxivity. This study aimed to implement a machine learning algorithm...
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