Abstract: We tackle the challenging problem of single-source domain generalization (DG) for medical image segmentation, where we train a network on one domain (e.g., CT) and directly apply it to a ...
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Three-dimensional imaging is a technique that combines many scans (from computed tomography, MRI or ultrasonography) computationally. Such images can then be manipulated by the radiographer or ...
Abstract: Hyperspectral image (HSI) classification is a critical task in remote sensing. Recently, deep learning (DL) methods, particularly state space models (SSMs) like Mamba, have garnered ...
A research-style PyTorch project for experimenting with Kolmogorov–Arnold Transformer (KAT) variants for image classification. This repository name follows the course paper title: Modification of ...
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