IEEE

Robust Deep Convolutional Dictionary Model With Alignment Assistance for Multi-Contrast MRI Super-Resolution

Abstract: Multi-contrast magnetic resonance imaging (MCMRI) super-resolution (SR) methods aims to leverage the complementary information present in multi-contrast images. However, existing methods ...
Frontiers

Deep learning super-resolution for temperature data downscaling: a comprehensive study using residual networks

Extreme weather events such as heatwaves, cyclones, floods, wildfires, and droughts are becoming more frequent due to climate change. Climate change causes shifts in biodiversity and impacts ...
Frontiers

Diagnosis of pneumonia from chest X-ray images using YOLO deep learning

Early and accurate diagnosis of pneumonia is crucial to improve cure rates and reduce mortality. Traditional chest X-ray analysis relies on physician experience, which can lead to subjectivity and ...
Scientific Research Publishing

Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance ()

Skin conditions are a worldwide health issue that requires prompt and accurate diagnosis in order to be effectively treated. This study presents a Convolutional Neural Network (CNN)-based automated ...
IEEE

Learning A Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution

Abstract: Adversarially trained deep neural networks have significantly improved performance of single image super resolution, by hallucinating photorealistic local textures, thereby greatly reducing ...