Breast Lesion Segmentation: Attention U-Net vs U-Net A PyTorch implementation and controlled comparison of Attention U-Net and standard U-Net for breast lesion segmentation on the BUSBRA dataset. The ...
Abstract: Accurate classification and recognition of hyperspectral images (HSIs) represent a crucial task in remote sensing image processing. The transformer has emerged as a dominant method for HSI ...
Abstract: Accurate liver cancer diagnosis is critical for early intervention and improved patient outcomes. This paper proposes a novel framework that bridges the strengths of U-Net and VGG ...
This repository provides the code for a climate downscaling (super-resolution) benchmark built on the NOAA Analysis of Record for Calibration (AORC) 1 km reanalysis over Texas. The benchmark evaluates ...