Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...

Google updated its Google image SEO best practices help document to recommend that you use the same image file name URL for the same image, even if you place that same image on different pages on your ...

ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...

1 International College, Chongqing University of Posts and Telecommunications, Chongqing, China 2 Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States To ...

Abstract: Synthetic Aperture Radar (SAR) segmentation is often acknowledged as a difficult task due to the presence of speckle noise because of which traditional segmentation algorithm fail to give ...

Abstract: We propose a new multiscale segmentation technique based on wavelet decompositions and watersheds. The wavelet transform is applied to the image, producing detail and approximation ...

This project enhances low-resolution images by combining interpolation with wavelet-based reconstruction. Interpolation upsamples the image, and wavelet processing restores edges and fine details, ...