AIMC Topic: Skin Diseases
Clear Filters Showing 91 to 100 of 184 articles
Predicting the clinical management of skin lesions using deep learning.
Scientific reports
Apr 8, 2021
Automated machine learning approaches to skin lesion diagnosis from images are approaching dermatologist-level performance. However, current machine learning approaches that suggest management decisions rely on predicting the underlying skin conditio...
Deep-learning approach in the study of skin lesions.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Apr 6, 2021
BACKGROUND: Medical technology is far from reaching its full potential. An area that is currently expanding is that of precision medicine. The aim of this article is to present an application of precision medicine-a deep-learning approach to computer...
Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices.
JAMA network open
Apr 1, 2021
IMPORTANCE: Most dermatologic cases are initially evaluated by nondermatologists such as primary care physicians (PCPs) or nurse practitioners (NPs).
Comparison of performance of a deep learning-based mobile application with non-dermatologist physicians in the diagnosis of common skin diseases.
International journal of dermatology
Mar 2, 2021
A convolutional neural network architecture for the recognition of cutaneous manifestations of COVID-19.
Dermatologic therapy
Feb 28, 2021
During the COVID-19 pandemic, dermatologists reported an array of different cutaneous manifestations of the disease. It is challenging to discriminate COVID-19-related cutaneous manifestations from other closely resembling skin lesions. The aim of th...
A hierarchical three-step superpixels and deep learning framework for skin lesion classification.
Methods (San Diego, Calif.)
Feb 19, 2021
Skin cancer is one of the most common and dangerous cancer that exists worldwide. Malignant melanoma is one of the most dangerous skin cancer types has a high mortality rate. An estimated 196,060 melanoma cases will be diagnosed in 2020 in the USA. M...
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
A common shortfall of supervised deep learning for medical imaging is the lack of labeled data, which is often expensive and time consuming to collect. This article presents a new semisupervised method for medical image segmentation, where the networ...
Skin Diseases
Dermatology
Optic Disk
Fundus Oculi
Supervised Machine Learning
Liver
Diagnostic Imaging
Tomography, X-Ray Computed
Glaucoma
Reproducibility of Results
Humans
Algorithms
Imaging, Three-Dimensional
Neural Networks, Computer
Databases, Factual
Deep Learning
Image Processing, Computer-Assisted
Deep learning based classification of facial dermatological disorders.
Computers in biology and medicine
Nov 13, 2020
Common properties of dermatological diseases are mostly lesions with abnormal pattern and skin color (usually redness). Therefore, dermatology is one of the most appropriate areas in medicine for automated diagnosis from images using pattern recognit...
The advent of artificial intelligence for the identification of skin lesions.
Clinical and experimental dermatology
Nov 4, 2020
A Point-of-Care, Real-Time Artificial Intelligence System to Support Clinician Diagnosis of a Wide Range of Skin Diseases.
The Journal of investigative dermatology
Oct 14, 2020
Dermatological diagnosis remains challenging for nonspecialists because the morphologies of primary skin lesions widely vary from patient to patient. Although previous studies have used artificial intelligence (AI) to classify lesions as benign or ma...
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