河海大学医学图像处理组

[CVPR 2024] SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

Adapting Segment Anything Model for Medical Image Segmentation

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Official implementation of SAM-Med2D

Data Science Competition: “Automated Measurement of Fetal Head Circumference”. Top 8% Finalist.

The code will be made public soon

[MIDL2020][MDPI] Fetus head circumference estimation via segmentation-free and segmentation-based approaches