AIMC Topic: Skin Diseases
Clear Filters Showing 61 to 70 of 184 articles
Application of deep learning algorithm in the recognition of cryptococcosis and talaromycosis skin lesions.
Mycoses
May 3, 2023
BACKGROUND: Cryptococcosis and talaromycosis are known as 'neglected epidemics' due to their high case fatality rates and low concern. Clinically, the skin lesions of the two fungal diseases are similar and easily misdiagnosed. Therefore, this study ...
Rema-Net: An efficient multi-attention convolutional neural network for rapid skin lesion segmentation.
Computers in biology and medicine
Apr 17, 2023
For clinical treatment, the accurate segmentation of lesions from dermoscopic images is extremely valuable. Convolutional neural networks (such as U-Net and its numerous variants) have become the main methods for skin lesion segmentation in recent ye...
Automated Monkeypox Skin Lesion Detection Using Deep Learning and Transfer Learning Techniques.
International journal of environmental research and public health
Mar 1, 2023
The current outbreak of monkeypox (mpox) has become a major public health concern because of the quick spread of this disease across multiple countries. Early detection and diagnosis of mpox is crucial for effective treatment and management. Consider...
Multi-Task and Few-Shot Learning-Based Fully Automatic Deep Learning Platform for Mobile Diagnosis of Skin Diseases.
IEEE journal of biomedical and health informatics
Jan 4, 2023
Fluorescence imaging-based diagnostic systems have been widely used to diagnose skin diseases due to their ability to provide detailed information related to the molecular composition of the skin compared to conventional RGB imaging. In addition, rec...
Deep Neural Forest for Out-of-Distribution Detection of Skin Lesion Images.
IEEE journal of biomedical and health informatics
Jan 4, 2023
Deep learning methods have shown outstanding potential in dermatology for skin lesion detection and identification. However, they usually require annotations beforehand and can only classify lesion classes seen in the training set. Moreover, large-sc...
An open source pipeline for quantitative immunohistochemistry image analysis of inflammatory skin disease using artificial intelligence.
Journal of the European Academy of Dermatology and Venereology : JEADV
Dec 3, 2022
BACKGROUND: The application of artificial intelligence (AI) to whole slide images has the potential to improve research reliability and ultimately diagnostic efficiency and service capacity. Image annotation plays a key role in AI and digital patholo...
Customized Federated Learning for Multi-Source Decentralized Medical Image Classification.
IEEE journal of biomedical and health informatics
Nov 10, 2022
The performance of deep networks for medical image analysis is often constrained by limited medical data, which is privacy-sensitive. Federated learning (FL) alleviates the constraint by allowing different institutions to collaboratively train a fede...
SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability.
PloS one
Oct 31, 2022
Skin cancer is considered to be the most common human malignancy. Around 5 million new cases of skin cancer are recorded in the United States annually. Early identification and evaluation of skin lesions are of great clinical significance, but the di...
Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application.
Journal of medical systems
Oct 10, 2022
Recently, human monkeypox outbreaks have been reported in many countries. According to the reports and studies, quick determination and isolation of infected people are essential to reduce the spread rate. This study presents an Android mobile applic...
Skin Lesion Classification on Imbalanced Data Using Deep Learning with Soft Attention.
Sensors (Basel, Switzerland)
Oct 4, 2022
Today, the rapid development of industrial zones leads to an increased incidence of skin diseases because of polluted air. According to a report by the American Cancer Society, it is estimated that in 2022 there will be about 100,000 people suffering...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31037
- Neural Networks, Computer 29719
- Algorithms 26832
- Deep Learning 26346
- Artificial Intelligence 24295
- Robotics 13311
- Image Processing, Computer-Assisted 9521
- Retrospective Studies 9111
- Magnetic Resonance Imaging 6181
- Reproducibility of Results 5592
- Tomography, X-Ray Computed 4771
- Support Vector Machine 4686
- Computational Biology 4237
- Brain 4050
- Computer Simulation 3881
Recent Journals
- Scientific reports 5949
- Sensors (Basel, Switzerland) 4794
- PloS one 4015
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1859
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1130
- Journal of chemical information and modeling 998
- Nature communications 944
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 826