Abstract: Medical image reporting focused on automatically generating the diagnostic reports from medical images has garnered growing research attention. In this task, learning cross-modal alignment ...
Abstract: In recent years, encoder-decoder-based network structures have been widely used in designing medical image segmentation models. However, these methods still face some limitations: 1) The ...
This is the official code for our paper: How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model, where we ...
This repository showcases a complete pipeline for high-quality Image Sharpening using Knowledge Distillation (KD). A pretrained Restormer model acts as the high-capacity teacher, while a lightweight ...
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