Improving performance of medical image fusion using histogram, dictionary learning and sparse representation
Y Li, Z Lv, J Zhao, Z Pan - Multimedia Tools and Applications, 2019 - Springer
Medical image fusion has attracted much attention in recent years, which aims to fuse
different medical images into a more informative and clearer one. The fused image is able to …
different medical images into a more informative and clearer one. The fused image is able to …
[PDF][PDF] AlexNet and DenseNet-121-based hybrid CNN architecture for skin cancer prediction from dermoscopic images
P Gupta, S Mesram - International Journal for Research in Applied …, 2022 - academia.edu
Skin cancer, one of the most common cancer types, has increased in prevalence during the
past several decades. In order to properly care for patients, it is essential to appropriately …
past several decades. In order to properly care for patients, it is essential to appropriately …
GRNN Based an Intelligent Technique for Image Inpainting
D Kanhar, R Chandak - Machine Learning Algorithms for Industrial …, 2021 - Springer
Image inpainting is usually framed as a constrained image generation problem. It is a
method that helps to reconstruct the lost or deteriorated parts of images as well as video …
method that helps to reconstruct the lost or deteriorated parts of images as well as video …