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🚀 超级八股文 🚀 - 告别死记硬背的 Java 全栈技术知识库！100万+字的讲解，原理剖析 + 丰富代码示例 + 清晰流程图解，让你真正理解每一个技术点！
[NeurIPS 2025] PanTS: The Pancreatic Tumor Segmentation Dataset. PanTS enables development and external evaluation of AI for pancreatic tumor detection, localization, and quantitative assessment, w…
The source code of "Multimodal Hypergraph Guide Learning for Non-Invasive ccRCC Survival Prediction"
Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]
Official repo for Adaptive Rectangular Convolution
EDTER: Edge Detection with Transformer, in CVPR 2022
U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking
SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image
Implementation of 3D attention mechanisms based on https://github.com/LeftAttention/Attention-Codebase. Thanks to LeftAttetnion for sharing the implementation of 2D attention mechanisms.
3D Slicer Plugin for Segment anything in medical images
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
[ISBI 2024 Oral] Official Pytorch Code base for "CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion"
[ACM MM 2025] Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
[IJCAI 2025 (Oral)] Offical implementation of the paper "Training-free Fourier Phase Diffusion for Style Transfer".
Official Repository of EffiDec3D-CVPR2025 paper
This is the official implementation repository for the paper titled "A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans".
Official repository of paper titled "UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities".
GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling
ADUULM-360 dataset access, tools, and baseline models
[CVPR 2025 Award Candidate & Oral] TacoDepth: Towards Efficient Radar-Camera Depth Estimation with One-stage Fusion