Turning MRI into a quantitative microscope to detect white matter injury

Early diagnosis and noninvasive monitoring of neurological disorders require sensitivity to elusive cellular-level ...
GitHub

[ICCV 2025] D³QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection

Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
IEEE

Fast Processing of Massive Hyperspectral Image Anomaly Detection Based on Cloud-Edge Collaboration

Abstract: With the improvement of hyperspectral image resolution, existing anomaly detection algorithms find it challenging to quickly process large volumes of hyperspectral data while fully ...
IEEE

Evaluating Edge Detection Algorithms for Robust Image Processing and FPGA Implementation

Abstract: Edge detection is crucial in image processing and medical imaging. Various operators have been developed, including Sobel, Canny, Robert, and Prewitt. The Sobel edge detection algorithm is ...