AIMC Topic: ROC Curve

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Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.

Academic radiology Aug 1, 2018
RATIONALE AND OBJECTIVES: With the growing adoption of digital breast tomosynthesis (DBT) in breast cancer screening, we compare the performance of deep learning computer-aided diagnosis on DBT images to that of conventional full-field digital mammog...
Neural Networks, Computer Machine Learning Retrospective Studies Female Humans ROC Curve Mammography Radiographic Image Interpretation, Computer-Assisted Breast Aged Adult Breast Neoplasms Middle Aged
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Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection.

Radiology Jul 31, 2018
Purpose To determine the feasibility of using a deep learning approach to detect cartilage lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due to cartilage degeneration, and acute cartilage injury) wit...
Cartilage, Articular Knee Injuries Humans Knee Joint Retrospective Studies Female Image Interpretation, Computer-Assisted Adult Adolescent Aged Male Arthralgia ROC Curve Young Adult Middle Aged Cartilage Diseases Magnetic Resonance Imaging Deep Learning
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Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values.

Radiology Jul 31, 2018
Purpose To compare biparametric contrast-free radiomic machine learning (RML), mean apparent diffusion coefficient (ADC), and radiologist assessment for characterization of prostate lesions detected during prospective MRI interpretation. Materials an...
Humans Machine Learning Retrospective Studies Aged Male Middle Aged ROC Curve Prostatic Neoplasms Magnetic Resonance Imaging Prostate Image Interpretation, Computer-Assisted
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Application of Artificial Neural Network in miRNA Biomarker Selection and Precise Diagnosis of Colorectal Cancer.

Iranian biomedical journal Jul 30, 2018
BACKGROUND: The early diagnosis of colorectal cancer (CRC) is associated with improved survival rates, and development of novel non-invasive, sensitive, and specific diagnostic tests is highly demanded. The objective of this paper was to identify com...
Internet Neural Networks, Computer Colorectal Neoplasms Biomarkers, Tumor Humans ROC Curve MicroRNAs Regression Analysis Area Under Curve
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A systematic study of the class imbalance problem in convolutional neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 29, 2018
In this study, we systematically investigate the impact of class imbalance on classification performance of convolutional neural networks (CNNs) and compare frequently used methods to address the issue. Class imbalance is a common problem that has be...
ROC Curve Probability Humans Neural Networks, Computer Machine Learning
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Fast and Accurate Diagnosis of Autism (FADA): a novel hierarchical fuzzy system based autism detection tool.

Australasian physical & engineering sciences in medicine Jul 27, 2018
The main aim of this research work was to develop and validate a novel graphical user interface based hierarchical fuzzy autism detection tool named as "Fast and Accurate Diagnosis of Autism" for the diagnosis of autism disorder quickly and accuratel...
Area Under Curve Discriminant Analysis Autistic Disorder Child ROC Curve Fuzzy Logic Humans Female Reproducibility of Results Sensitivity and Specificity Male User-Computer Interface Child, Preschool
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Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?

International journal of neural systems Jul 26, 2018
Spatial and intensity normalizations are nowadays a prerequisite for neuroimaging analysis. Influenced by voxel-wise and other univariate comparisons, where these corrections are key, they are commonly applied to any type of analysis and imaging moda...
Deep Learning Female ROC Curve Aged Humans Parkinson Disease Male Image Processing, Computer-Assisted Neural Networks, Computer Positron-Emission Tomography Middle Aged Brain Neural Pathways Tomography, Emission-Computed, Single-Photon
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Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm.

Journal of dentistry Jul 26, 2018
OBJECTIVES: Deep convolutional neural networks (CNNs) are a rapidly emerging new area of medical research, and have yielded impressive results in diagnosis and prediction in the fields of radiology and pathology. The aim of the current study was to e...
Algorithms Deep Learning ROC Curve Dental Caries Humans Neural Networks, Computer
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SVM-SulfoSite: A support vector machine based predictor for sulfenylation sites.

Scientific reports Jul 26, 2018
Protein S-sulfenylation, which results from oxidation of free thiols on cysteine residues, has recently emerged as an important post-translational modification that regulates the structure and function of proteins involved in a variety of physiologic...
Sulfhydryl Compounds Cysteine ROC Curve Computational Biology Support Vector Machine Protein Processing, Post-Translational Proteins Oxidation-Reduction
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Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma.

American journal of ophthalmology Jul 25, 2018
PURPOSE: To test the hypothesis that contact lens sensor (CLS)-based 24-hour profiles of ocular volume changes contain information complementary to intraocular pressure (IOP) to discriminate between primary open-angle glaucoma (POAG) and healthy (H) ...
Humans Aged Adult Intraocular Pressure Male Machine Learning Prospective Studies Female Tonometry, Ocular Monitoring, Ambulatory Telemetry Glaucoma, Open-Angle Contact Lenses Middle Aged ROC Curve Area Under Curve
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