AIMC Topic: ROC Curve

Clear Filters Showing 3111 to 3120 of 3271 articles

Deep neural network-assisted computed tomography diagnosis of metastatic lymph nodes from gastric cancer.

Chinese medical journal Dec 5, 2019
BACKGROUND: Artificial intelligence-assisted image recognition technology is currently able to detect the target area of an image and fetch information to make classifications according to target features. This study aimed to use deep neural networks...
Middle Aged ROC Curve Lymphatic Metastasis Young Adult Adult Stomach Neoplasms Male Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Neural Networks, Computer
View on PubMed DOI

Establishment and application of an artificial intelligence diagnosis system for pancreatic cancer with a faster region-based convolutional neural network.

Chinese medical journal Dec 5, 2019
BACKGROUND: Early diagnosis and accurate staging are important to improve the cure rate and prognosis for pancreatic cancer. This study was performed to develop an automatic and accurate imaging processing technique system, allowing this system to re...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Tomography, X-Ray Computed ROC Curve Image Processing, Computer-Assisted Pancreatic Neoplasms
View on PubMed DOI

PVsiRNAPred: Prediction of plant exclusive virus-derived small interfering RNAs by deep convolutional neural network.

Journal of bioinformatics and computational biology Dec 1, 2019
Plant exclusive virus-derived small interfering RNAs (vsiRNAs) regulate various biological processes, especially important in antiviral immunity. The identification of plant vsiRNAs is important for understanding the biogenesis and function mechanism...
Plant Viruses Databases, Genetic Neural Networks, Computer RNA, Small Interfering Algorithms Plants ROC Curve Host-Pathogen Interactions Computational Biology
View on PubMed DOI

Diagnostic accuracy of machine-learning-assisted detection for anterior cruciate ligament injury based on magnetic resonance imaging: Protocol for a systematic review and meta-analysis.

Medicine Dec 1, 2019
BACKGROUND: Although many machine learning algorithms have been developed to detect anterior cruciate ligament (ACL) injury based on magnetic resonance imaging (MRI), the performance of different algorithms required further investigation. The objecti...
ROC Curve Machine Learning Magnetic Resonance Imaging Anterior Cruciate Ligament Injuries Research Design Humans Systematic Reviews as Topic Sensitivity and Specificity Meta-Analysis as Topic Diagnosis, Computer-Assisted
View on PubMed DOI

High Accuracy of Convolutional Neural Network for Evaluation of Helicobacter pylori Infection Based on Endoscopic Images: Preliminary Experience.

Clinical and translational gastroenterology Dec 1, 2019
OBJECTIVES: Application of artificial intelligence in gastrointestinal endoscopy is increasing. The aim of the study was to examine the accuracy of convolutional neural network (CNN) using endoscopic images for evaluating Helicobacter pylori (H. pylo...
Endoscopy, Gastrointestinal Helicobacter Infections Helicobacter pylori Gastroscopy ROC Curve Gastric Mucosa Decision Support Systems, Clinical Retrospective Studies Image Processing, Computer-Assisted Breath Tests Female Biopsy Carbon Isotopes Adult Male Middle Aged Humans Deep Learning Pilot Projects
View on PubMed DOI

A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer.

Clinical nuclear medicine Dec 1, 2019
PURPOSE: We sought to distinguish lung adenocarcinoma (ADC) from squamous cell carcinoma using a machine-learning algorithm with PET-based radiomic features.
Aged Male Middle Aged ROC Curve Machine Learning Retrospective Studies Female Carcinoma, Squamous Cell Positron Emission Tomography Computed Tomography Image Processing, Computer-Assisted Lung Neoplasms Area Under Curve Bayes Theorem Humans
View on PubMed DOI

Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs.

JAMA ophthalmology Dec 1, 2019
IMPORTANCE: A deep learning system (DLS) that could automatically detect glaucomatous optic neuropathy (GON) with high sensitivity and specificity could expedite screening for GON.
Humans Databases, Factual Female Optic Nerve Diseases False Positive Reactions Diagnostic Techniques, Ophthalmological ROC Curve Photography Predictive Value of Tests Glaucoma, Open-Angle Area Under Curve Sensitivity and Specificity Fundus Oculi Cross-Sectional Studies Male Deep Learning
View on PubMed DOI

Evaluation of a Deep Learning System For Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.

Journal of glaucoma Dec 1, 2019
PRECIS: Pegasus outperformed 5 of the 6 ophthalmologists in terms of diagnostic performance, and there was no statistically significant difference between the deep learning system and the "best case" consensus between the ophthalmologists. The agreem...
Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Aged Adult Sensitivity and Specificity Intraocular Pressure Optic Nerve Diseases Diagnostic Techniques, Ophthalmological Photography Ophthalmologists Glaucoma, Open-Angle ROC Curve Humans Area Under Curve Retrospective Studies Observer Variation Female Optic Disk
View on PubMed DOI

What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review.

Clinical orthopaedics and related research Nov 1, 2019
BACKGROUND: Artificial-intelligence algorithms derive rules and patterns from large amounts of data to calculate the probabilities of various outcomes using new sets of similar data. In medicine, artificial intelligence (AI) has been applied primaril...
Predictive Value of Tests Artificial Intelligence Orthopedics Humans Algorithms ROC Curve Fractures, Bone
View on PubMed DOI

Histogram analysis of absolute cerebral blood volume map can distinguish glioblastoma from solitary brain metastasis.

Medicine Oct 1, 2019
Glioblastoma multiforme (GBM) is difficult to be separated from solitary brain metastasis (sBM) in clinical practice. This study aimed to distinguish two entities by the histogram analysis of absolute cerebral blood volume (CBV) map.From March 2016 t...
Glioblastoma Humans Female Machine Learning Image Interpretation, Computer-Assisted Middle Aged Retrospective Studies Cerebral Blood Volume Aged ROC Curve Diagnosis, Differential Brain Neoplasms Predictive Value of Tests Male
View on PubMed DOI
Popular Topics
Recent Journals