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This repository contains an overview of important follow-up works based on the original Vision Transformer (ViT) by Google.
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery (CVPR 2023)
[CVPR 2024] Code for "Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation"
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
[CVPR 2022] ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
[ICCV-2023] Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
[CVPRW 2024] LaPA: Latent Prompt Assist Model For Medical Visual Question Answering
[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
[ISBI 2024] An implementation of SAM3D which adapts Segment Anything Model for Volumetric Medical Image Segmentation
[IEEE Transactions on Medical Imaging/TMI] This repo is the official implementation of "LViT: Language meets Vision Transformer in Medical Image Segmentation"
[NeurIPS 2024 Workshop AIM-FM] Official code implementation for paper: Surgical SAM 2
[AAAI-2025] The official code of Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
Official repo for Medical Image Segmentation Review: The Success of U-Net
U-Net architecture with Kolmogorov-Arnold Convolutions (KA convolutions)
Medical Image Segmentation with Diffusion Model
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty
This Repository is implementation of majority of Semantic Segmentation Loss Functions
⭐️ Companies that don't have a broken hiring process
A simple and efficient Mamba implementation in pure PyTorch and MLX.