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Learning What and Where to Segment: A New Perspective on Medical Image Few-Shot Segmentation

This repository provides the official PyTorch implementation of RAP(Regitration and Prototype).

Requirements

  • torch == 1.6.0

Getting Started

test.py

Citation

@article{FENG2023102834,
title = {Learning what and where to segment: A new perspective on medical image few-shot segmentation},
journal = {Medical Image Analysis},
volume = {87},
pages = {102834},
year = {2023},
issn = {1361-8415},
doi = {https://doi.org/10.1016/j.media.2023.102834},
url = {https://www.sciencedirect.com/science/article/pii/S1361841523000944},
author = {Yong Feng and Yonghuai Wang and Honghe Li and Mingjun Qu and Jinzhu Yang},
keywords = {Few-shot segmentation, Organ segmentation, Echocardiography, Medical prior knowledge}
}