AIMC Topic: ROC Curve

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Differentiation of distal ureteral stones and pelvic phleboliths using a convolutional neural network.

Urolithiasis Feb 27, 2020
The objectives were to develop and validate a Convolutional Neural Network (CNN) using local features for differentiating distal ureteral stones from pelvic phleboliths, compare the CNN method with a semi-quantitative method and with radiologists' as...
Ureteral Calculi Renal Colic Datasets as Topic Vascular Calcification Ureter Veins Aged Aged, 80 and over Young Adult Adult Male Middle Aged Adolescent ROC Curve Diagnosis, Differential Pelvis Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female
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Discriminating glaucomatous and compressive optic neuropathy on spectral-domain optical coherence tomography with deep learning classifier.

The British journal of ophthalmology Feb 25, 2020
BACKGROUND/AIMS: To assess the performance of a deep learning classifier for differentiation of glaucomatous optic neuropathy (GON) from compressive optic neuropathy (CON) based on ganglion cell-inner plexiform layer (GCIPL) and retinal nerve fibre l...
Humans Glaucoma Retrospective Studies Deep Learning ROC Curve Follow-Up Studies Tomography, Optical Coherence Nerve Fibers Female Aged Intraocular Pressure Male Middle Aged Optic Disk Retinal Ganglion Cells Visual Fields Optic Nerve Diseases
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Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model.

Scientific reports Feb 24, 2020
We developed a hybrid deep learning model (HDLM) algorithm that quantitatively predicts macular ganglion cell-inner plexiform layer (mGCIPL) thickness from red-free retinal nerve fiber layer photographs (RNFLPs). A total of 789 pairs of RNFLPs and sp...
Optic Nerve Tomography, Optical Coherence Fundus Oculi Translational Research, Biomedical Aged Retinal Ganglion Cells Humans Diagnostic Techniques, Ophthalmological Aged, 80 and over Deep Learning Glaucoma Intraocular Pressure Young Adult Refractometry ROC Curve Algorithms Male Adult Support Vector Machine Retrospective Studies Middle Aged Sensitivity and Specificity Regression Analysis Female Case-Control Studies Diagnosis, Computer-Assisted
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A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network.

Tissue & cell Feb 20, 2020
The diagnosis of cervical dysplasia, carcinoma in situ and confirmed carcinoma cases is more easily perceived by commercially available and current research-based decision support systems when the scenario of pathologists to patient ratio is small. T...
Humans Models, Biological Databases as Topic Neural Networks, Computer Algorithms Deep Learning Female ROC Curve Uterine Cervical Neoplasms Papanicolaou Test Image Processing, Computer-Assisted Area Under Curve
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Same same but different: A Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations.

Epilepsia Feb 20, 2020
OBJECTIVE: The microscopic review of hematoxylin-eosin-stained images of focal cortical dysplasia type IIb and cortical tuber of tuberous sclerosis complex remains challenging. Both entities are distinct subtypes of human malformations of cortical de...
Humans Tuberous Sclerosis ROC Curve Area Under Curve Epilepsy Cerebral Cortex Internet Proof of Concept Study Neurons Malformations of Cortical Development, Group I Neural Networks, Computer Neuropathology Algorithms Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning
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A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators.

Scientific reports Feb 20, 2020
Patients with chronic obstructive pulmonary disease (COPD) repeat acute exacerbations (AE). Global Initiative for Chronic Obstructive Lung Disease (GOLD) is only available for patients in stable phase. Currently, there is a lack of assessment and pre...
Female Reproducibility of Results Hospitalization Aged Aged, 80 and over Adult Pulmonary Disease, Chronic Obstructive Male Middle Aged Disease Progression Humans Machine Learning Algorithms Prognosis Comorbidity Models, Statistical ROC Curve Decision Trees Decision Support Systems, Clinical False Positive Reactions Inflammation Risk
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Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network.

Gastrointestinal endoscopy Feb 19, 2020
BACKGROUND AND AIMS: Protruding lesions of the small bowel vary in wireless capsule endoscopy (WCE) images, and their automatic detection may be difficult. We aimed to develop and test a deep learning-based system to automatically detect protruding l...
Deep Learning ROC Curve Humans Capsule Endoscopy Neural Networks, Computer Intestine, Small
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Monitoring stance towards vaccination in twitter messages.

BMC medical informatics and decision making Feb 18, 2020
BACKGROUND: We developed a system to automatically classify stance towards vaccination in Twitter messages, with a focus on messages with a negative stance. Such a system makes it possible to monitor the ongoing stream of messages on social media, of...
Vaccination Support Vector Machine Social Media Data Collection Netherlands Humans Machine Learning ROC Curve
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Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques.

BioMed research international Feb 18, 2020
The adaptability of heart to external and internal stimuli is reflected by the heart rate variability (HRV). Reduced HRV can be a predictor of negative cardiovascular outcomes. Based on the nonlinear, nonstationary, and highly complex dynamics of the...
ROC Curve Humans Support Vector Machine Machine Learning Models, Statistical Algorithms Heart Failure Sensitivity and Specificity Heart Rate
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Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training.

European radiology Feb 17, 2020
PURPOSE: This study aimed to validate a deep learning model's diagnostic performance in using computed tomography (CT) to diagnose cervical lymph node metastasis (LNM) from thyroid cancer in a large clinical cohort and to evaluate the model's clinica...
Artificial Intelligence Algorithms Radiology Diagnosis, Computer-Assisted Humans Education, Medical, Graduate Thyroid Neoplasms Deep Learning Multidetector Computed Tomography ROC Curve Cohort Studies Internship and Residency Lymph Nodes Neck Lymphatic Metastasis
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