Boundary-aware context neural network for medical image segmentation [MedIA'22]

可视化特征图教程

[TMI 2023] XBound-Former: Toward Cross-scale Boundary Modeling in Transformers

image registration related books, papers, videos, and toolboxes

PolyPooling: An Accurate Polyp Segmentation from Colonoscopy Images

Teeth Segmentation

Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2

Code for Boundary Difference Over Union Loss For Medical Image Segmentation

Segment Anything in Medical Images

[MICCAI 2024] Repository for "ASPS: Augmented Segment Anything Model for Polyp Segmentation"

MICCAI 2023 Challenges ：STS-基于2D 全景图像的牙齿分割任务 初赛第一 复赛第四方案分享

Classification-segmentation project on panoramic radiographic X-Ray tooth images. Initial networks.

Cross-Attention and Feature Exploration Network for polyp segmentation

Flops counter for convolutional networks in pytorch framework

BetterNet is a state-of-the-art deep learning model for accurate and efficient polyp segmentation in medical images. It combines EfficientNetB1 encoder, residual blocks, squeeze-and-excitation modu…

[MICCAI 2024] SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

LANet, a Lightweight Attention Network, are presented in the paper and incorporates an Efficient Fusion Attention (EFA) block and an Adaptive Feature Fusion (AFF) decoding block.

This is the official implementation for article "Edge-guided and Hierarchical Aggregation Network for Robust Medical Image Segmentation".

FENet: Biomedical image segmentation for efficient segmentation

[MICCAI 2024] Cephalometric Landmark Detection across Ages with Prototypical Network

Code Implementation of the FCB-SwinV2 Transformer