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Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).
Code of paper "A new baseline for edge detection: Make Encoder-Decoder great again"
A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
LB-UNet: A Lightweight Boundary-assisted UNet for Skin Lesion Segmentation
MambaClinix: Hierarchical Gated Convolution and Mamba-Structured UNet for Enhanced 3D Medical Image Segmentation
[PR2022] The Code of “EANet: Iterative Edge Attention Network for Medical Image Segmentation”
Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"
The codes for TCFormer in paper: Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
[CVPR 2024] Code release for TransNeXt model
Causal depthwise conv1d in CUDA, with a PyTorch interface
MICCAI 2024: nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for segmentation challenges.
[CVPR 2024 Extension] 160K volumes (42M slices) datasets, new segmentation datasets, 31M-1.2B pre-trained models, various pre-training recipes, 50+ downstream tasks implementation
MedSeg: Medical Image Segmentation GUI Toolbox 可视化医学图像分割工具箱
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
[MICCAI 2024] PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
[MICCAI 2021] The official code for "Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation"
This repository hosts the code for the MICCAI 2024 paper on a novel deep learning framework that leverages anatomical symmetry for enhanced brain imaging analysis. Our approach integrates a Symmetr…