Skip to content

Latest commit

 

History

History
25 lines (19 loc) · 1.23 KB

File metadata and controls

25 lines (19 loc) · 1.23 KB

ProLearn: Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation

Paper PDF arXiv Project Page

The University of Sydney; Macquarie University

Shuchang Ye, Usman Naseem, Mingyuan Meng, Jinman Kim

Quick Start

First, clone this repository to your local machine and install the dependencies.

git clone git@github.com:ShuchangYe-bib/ProLearn.git
cd ProLearn
conda create --name prolearn python=3.11
conda activate prolearn
pip install -r requirements.txt