AIMC Topic: Photography

Clear Filters Showing 191 to 200 of 337 articles

Application of deep learning image assessment software VeriSee™ for diabetic retinopathy screening.

Journal of the Formosan Medical Association = Taiwan yi zhi Apr 16, 2020
PURPOSE: To develop a deep learning image assessment software VeriSee™ and to validate its accuracy in grading the severity of diabetic retinopathy (DR).
Deep Learning Mass Screening Taiwan Photography Humans Diabetic Retinopathy Software Retrospective Studies
View on PubMed DOI

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.
Algorithms Retrospective Studies Sensitivity and Specificity Deep Learning ROC Curve Humans Neural Networks, Computer Retina Datasets as Topic Ophthalmoscopy Photography Papilledema Diagnosis, Differential Predictive Value of Tests Area Under Curve Fundus Oculi
View on PubMed DOI

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.
Deep Learning ROC Curve Area Under Curve Optic Disk Visual Field Tests Reproducibility of Results Sensitivity and Specificity Intraocular Pressure Male Optic Nerve Diseases Photography Humans Neural Networks, Computer Glaucoma Algorithms Female
View on PubMed DOI

Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

The Journal of investigative dermatology Mar 31, 2020
Although deep learning algorithms have demonstrated expert-level performance, previous efforts were mostly binary classifications of limited disorders. We trained an algorithm with 220,680 images of 174 disorders and validated it using Edinburgh (1,3...
Female Skin Neoplasms Dermoscopy Aged Young Adult Humans Anti-Bacterial Agents Internship and Residency Drug Therapy, Computer-Assisted Antifungal Agents Skin Feasibility Studies Dermatologists Skin Diseases Deep Learning Dermatology Adult Clinical Competence Image Interpretation, Computer-Assisted Male Adolescent Datasets as Topic ROC Curve Photography Middle Aged Antiviral Agents Glucocorticoids
View on PubMed DOI

Multi-Person Pose Estimation Using an Orientation and Occlusion Aware Deep Learning Network.

Sensors (Basel, Switzerland) Mar 12, 2020
Image based human behavior and activity understanding has been a hot topic in the field of computer vision and multimedia. As an important part, skeleton estimation, which is also called pose estimation, has attracted lots of interests. For pose esti...
Orientation, Spatial Humans Deep Learning Image Processing, Computer-Assisted Joints Photography
View on PubMed DOI

Deep learning computer vision algorithm for detecting kidney stone composition.

BJU international Mar 3, 2020
OBJECTIVES: To assess the recall of a deep learning (DL) method to automatically detect kidney stones composition from digital photographs of stones.
Humans Photography Cystine Algorithms Calcium Oxalate ROC Curve Deep Learning Struvite Uric Acid Calcium Phosphates Image Interpretation, Computer-Assisted Kidney Calculi
View on PubMed DOI

Domain-invariant interpretable fundus image quality assessment.

Medical image analysis Jan 30, 2020
Objective and quantitative assessment of fundus image quality is essential for the diagnosis of retinal diseases. The major factors in fundus image quality assessment are image artifact, clarity, and field definition. Unfortunately, most of existing ...
Humans Machine Learning Fundus Oculi Image Interpretation, Computer-Assisted Optic Disk Artifacts Retinal Diseases Datasets as Topic Photography
View on PubMed DOI

Automatic detection of rare pathologies in fundus photographs using few-shot learning.

Medical image analysis Jan 28, 2020
In the last decades, large datasets of fundus photographs have been collected in diabetic retinopathy (DR) screening networks. Through deep learning, these datasets were used to train automatic detectors for DR and a few other frequent pathologies, w...
Photography Humans Rare Diseases Diabetic Retinopathy Deep Learning Datasets as Topic Eye Diseases Diagnostic Techniques, Ophthalmological
View on PubMed DOI

Observer-independent assessment of psoriasis-affected area using machine learning.

Journal of the European Academy of Dermatology and Venereology : JEADV Jan 23, 2020
BACKGROUND: Assessment of psoriasis severity is strongly observer-dependent, and objective assessment tools are largely missing. The increasing number of patients receiving highly expensive therapies that are reimbursed only for moderate-to-severe ps...
Machine Learning Retrospective Studies Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Middle Aged Severity of Illness Index Humans Neural Networks, Computer Adolescent Psoriasis Observer Variation Photography
View on PubMed DOI

Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs.

American journal of ophthalmology Nov 12, 2019
PURPOSE: To compare the diagnostic performance of human gradings vs predictions provided by a machine-to-machine (M2M) deep learning (DL) algorithm trained to quantify retinal nerve fiber layer (RNFL) damage on fundus photographs.
Physical Examination Glaucoma, Open-Angle Gonioscopy Middle Aged Visual Fields Aged Area Under Curve Deep Learning Visual Field Tests Cross-Sectional Studies Tomography, Optical Coherence ROC Curve Humans Intraocular Pressure Optic Nerve Diseases Vision Disorders Fundus Oculi Algorithms Male Photography Nerve Fibers Retrospective Studies Retinal Ganglion Cells Female
View on PubMed DOI
Popular Topics
Recent Journals