AIMC Topic:
ROC Curve

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Microaneurysms detection in color fundus images using machine learning based on directional local contrast.

Biomedical engineering online Apr 15, 2020
BACKGROUND: As one of the major complications of diabetes, diabetic retinopathy (DR) is a leading cause of visual impairment and blindness due to delayed diagnosis and intervention. Microaneurysms appear as the earliest symptom of DR. Accurate and re...
Area Under Curve Fundus Oculi Molecular Imaging Microaneurysm Time Factors ROC Curve Image Processing, Computer-Assisted Humans Machine Learning
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Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs.

The New England journal of medicine Apr 14, 2020
BACKGROUND: Nonophthalmologist physicians do not confidently perform direct ophthalmoscopy. The use of artificial intelligence to detect papilledema and other optic-disk abnormalities from fundus photographs has not been well studied.
Humans Neural Networks, Computer Algorithms Retrospective Studies Retina Sensitivity and Specificity Diagnosis, Differential Datasets as Topic Ophthalmoscopy Papilledema Deep Learning Predictive Value of Tests Photography Area Under Curve Fundus Oculi ROC Curve
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Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.

Scientific reports Apr 14, 2020
Deep learning has recently gained popularity in digital pathology due to its high prediction quality. However, the medical domain requires explanation and insight for a better understanding beyond standard quantitative performance evaluation. Recentl...
Image Interpretation, Computer-Assisted Deep Learning ROC Curve Area Under Curve Humans Neural Networks, Computer Neoplasms
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Prediction of physical violence in schizophrenia with machine learning algorithms.

Psychiatry research Apr 13, 2020
Patients with schizophrenia have been shown to have an increased risk for physical violence. While certain features have been identified as risk factors, it has been difficult to integrate these variables to identify violent patients. The present stu...
Cross-Sectional Studies Male Female Middle Aged Schizophrenic Psychology Predictive Value of Tests ROC Curve Risk Factors Humans Area Under Curve Physical Abuse Adult Machine Learning Schizophrenia Algorithms Violence
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Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images.

European journal of radiology Apr 12, 2020
PURPOSE: We aimed to propose a highly automatic and objective model named deep learning Radiomics of thyroid (DLRT) for the differential diagnosis of benign and malignant thyroid nodules from ultrasound (US) images.
Thyroid Gland Cohort Studies Ultrasonography Thyroid Nodule Male Middle Aged Deep Learning ROC Curve Diagnosis, Differential Area Under Curve Image Interpretation, Computer-Assisted Humans Retrospective Studies Female Reproducibility of Results
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Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology.

European radiology Apr 8, 2020
OBJECTIVES: To compare the diagnostic accuracy of texture analysis (TA)-derived parameters combined with machine learning (ML) of non-contrast-enhanced T1w and T2w fat-saturated (fs) images with MR elastography (MRE) for liver fibrosis quantification...
Humans Machine Learning Prospective Studies Female Male Magnetic Resonance Imaging Elasticity Imaging Techniques Middle Aged ROC Curve Liver Liver Cirrhosis Biopsy
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Unveiling new disease, pathway, and gene associations via multi-scale neural network.

PloS one Apr 6, 2020
Diseases involve complex modifications to the cellular machinery. The gene expression profile of the affected cells contains characteristic patterns linked to a disease. Hence, new biological knowledge about a disease can be extracted from these prof...
Computational Biology Comorbidity Disease Humans Transcriptome Signal Transduction Neural Networks, Computer ROC Curve Models, Biological Prognosis Gene Regulatory Networks
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Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam.

International journal of environmental research and public health Apr 4, 2020
The main aim of this study is to assess groundwater potential of the DakNong province, Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates Artificial Neural Networks (ANN) with RealAdaBoost (RAB) ensemble technique. F...
Groundwater Water Resources Neural Networks, Computer Vietnam Machine Learning ROC Curve
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Efficacy for Differentiating Nonglaucomatous Versus Glaucomatous Optic Neuropathy Using Deep Learning Systems.

American journal of ophthalmology Apr 2, 2020
PURPOSE: We sought to assess the performance of deep learning approaches for differentiating nonglaucomatous optic neuropathy with disc pallor (NGON) vs glaucomatous optic neuropathy (GON) on color fundus photographs by the use of image recognition.
Optic Disk Visual Field Tests Optic Nerve Diseases Male Photography Humans Deep Learning ROC Curve Neural Networks, Computer Area Under Curve Glaucoma Reproducibility of Results Algorithms Female Sensitivity and Specificity Intraocular Pressure
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Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer.

Physics in medicine and biology Apr 2, 2020
Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and survival prediction. Our goal is to compare the handcrafted (explicitly designed) and deep learning (DL)-based radiomic features extracted from pre-tr...
Humans Female Male Neoadjuvant Therapy Rectal Neoplasms Chemoradiotherapy Diffusion Magnetic Resonance Imaging Middle Aged Deep Learning ROC Curve Treatment Outcome
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