IEEE

Causality-Adjusted Data Augmentation for Domain Continual Medical Image Segmentation

Abstract: In domain continual medical image segmentation, distillation-based methods mitigate catastrophic forgetting by continuously reviewing old knowledge. However, these approaches often exhibit ...
GitHub

ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations

@article{chiaroni2025promi, title={ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations}, author={Chiaroni, Florent and Ayub, Ali and Ahmad, Ola}, ...
IEEE

Federated Learning Model Using CBDPL for Medical Image Segmentation

Abstract: Federated learning (FL) allows hospitals and medical centers to train models without sharing patient data. Instead of sending data to a central server, each institution trains the model ...
GitHub

PraNet: Parallel Reverse Attention Network for Polyp Segmentation (MICCAI2020-Oral & MICCAI2024 Young Scientist Publication Impact Award Shortlist)

[2021/09/07] The Jittor convertion of PraNet (inference code) is available right now. It has robust inference efficiency compared to PyTorch version, please enjoy it. Many thanks to Yu-Cheng Chou for ...