AIMC Topic: Area Under Curve

Clear Filters Showing 641 to 650 of 1194 articles

DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images.

Medical hypotheses Oct 10, 2019
Recent studies have shown that convolutional neural networks (CNNs) can be more accurate, efficient and even deeper on their training if they include direct connections from the layers close to the input to those close to the output in order to trans...
Fluorescein Angiography Humans Algorithms Retinal Vessels Sensitivity and Specificity Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Area Under Curve Fundus Oculi Deep Learning ROC Curve
View on PubMed DOI

Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions.

JAMA network open Oct 2, 2019
IMPORTANCE: A high proportion of suspicious pigmented skin lesions referred for investigation are benign. Techniques to improve the accuracy of melanoma diagnoses throughout the patient pathway are needed to reduce the pressure on secondary care and ...
Female Melanoma Skin Neoplasms Dermoscopy ROC Curve Humans Adult Aged Smartphone Prospective Studies Male Middle Aged Deep Learning Area Under Curve Biopsy Photography
View on PubMed DOI

Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs.

Ophthalmology Sep 24, 2019
PURPOSE: To develop and validate a deep learning (DL) algorithm that predicts referable glaucomatous optic neuropathy (GON) and optic nerve head (ONH) features from color fundus images, to determine the relative importance of these features in referr...
Retinal Ganglion Cells Optic Nerve Diseases Ophthalmologists Glaucoma, Open-Angle Referral and Consultation Datasets as Topic Nerve Fibers Specialization Optic Disk Humans Retrospective Studies Female Male Aged Middle Aged Sensitivity and Specificity Deep Learning ROC Curve Area Under Curve
View on PubMed DOI

Using machine learning to understand neuromorphological change and image-based biomarker identification in Cavalier King Charles Spaniels with Chiari-like malformation-associated pain and syringomyelia.

Journal of veterinary internal medicine Sep 24, 2019
BACKGROUND: Chiari-like malformation (CM) is a complex malformation of the skull and cranial cervical vertebrae that potentially results in pain and secondary syringomyelia (SM). Chiari-like malformation-associated pain (CM-P) can be challenging to d...
Arnold-Chiari Malformation Syringomyelia Area Under Curve Female Machine Learning Dogs Sensitivity and Specificity Animals Dog Diseases Biomarkers Pain Male Retrospective Studies ROC Curve
View on PubMed DOI

Building Risk Prediction Models for Type 2 Diabetes Using Machine Learning Techniques.

Preventing chronic disease Sep 19, 2019
INTRODUCTION: As one of the most prevalent chronic diseases in the United States, diabetes, especially type 2 diabetes, affects the health of millions of people and puts an enormous financial burden on the US economy. We aimed to develop predictive m...
Models, Biological Behavioral Risk Factor Surveillance System Risk Factors Diabetes Mellitus, Type 2 Decision Trees Area Under Curve Humans Neural Networks, Computer
View on PubMed DOI

A superpixel-driven deep learning approach for the analysis of dermatological wounds.

Computer methods and programs in biomedicine Sep 13, 2019
BACKGROUND: The image-based identification of distinct tissues within dermatological wounds enhances patients' care since it requires no intrusive evaluations. This manuscript presents an approach, we named QTDU, that combines deep learning models wi...
Algorithms Support Vector Machine Humans Reproducibility of Results Principal Component Analysis Machine Learning Bayes Theorem Area Under Curve Deep Learning Dermatology Sensitivity and Specificity Pattern Recognition, Automated Image Processing, Computer-Assisted Diagnosis, Computer-Assisted Skin Ulcer
View on PubMed DOI

Injecting and removing suspicious features in breast imaging with CycleGAN: A pilot study of automated adversarial attacks using neural networks on small images.

European journal of radiology Sep 10, 2019
PURPOSE: To train a CycleGAN on downscaled versions of mammographic data to artificially inject or remove suspicious features, and to determine whether these AI-mediated attacks can be detected by radiologists.
Pilot Projects Humans ROC Curve Image Interpretation, Computer-Assisted Radiologists Female Mammography Neural Networks, Computer Area Under Curve Breast Breast Neoplasms Case-Control Studies
View on PubMed DOI

Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests.

JAMA network open Sep 4, 2019
IMPORTANCE: Laboratory testing is an important target for high-value care initiatives, constituting the highest volume of medical procedures. Prior studies have found that up to half of all inpatient laboratory tests may be medically unnecessary, but...
Troponin I L-Lactate Dehydrogenase Blood Urea Nitrogen Leukocyte Count Clinical Laboratory Techniques Predictive Value of Tests Area Under Curve Glycated Hemoglobin Hemoglobins Retrospective Studies Female Hospitalization Aged Male Middle Aged ROC Curve Adult Sensitivity and Specificity Humans Machine Learning
View on PubMed DOI

Universal artificial intelligence platform for collaborative management of cataracts.

The British journal of ophthalmology Sep 2, 2019
PURPOSE: To establish and validate a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multilevel clinical scenarios and explored an AI-based medical referral pattern to improve collaborative efficien...
Aged, 80 and over Adult Male Middle Aged Adolescent Humans Artificial Intelligence Female Aged Cataract Extraction Cataract Slit Lamp Microscopy Intersectoral Collaboration ROC Curve Mass Screening Vision Disorders Area Under Curve
View on PubMed DOI

CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.

International journal of molecular sciences Aug 30, 2019
It is well known that the unusual expression of long non-coding RNAs (lncRNAs) is closely related to the physiological and pathological processes of diseases. Therefore, inferring the potential lncRNA-disease associations are helpful for understandin...
Humans ROC Curve Neural Networks, Computer RNA, Long Noncoding Algorithms Area Under Curve Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals