This repository contains the PyTorch implementation of:
Adaptive Context Selection for Polyp Segmentation, MICCAI 2020.
- torch
- torchvision
- tqdm
- opencv
- scipy
- skimage
- PIL
- numpy
python train.py --mode train --dataset kvasir_SEG
--train_data_dir /path-to-train_data --valid_data_dir /path-to-valid_datapython test.py --mode test --load_ckpt checkpoint
--dataset kvasir_SEG --test_data_dir /path-to-test_dataIf you feel this work is helpful, please cite our paper
@inproceedings{zhang2020adaptive,
title={Adaptive Context Selection for Polyp Segmentation},
author={Zhang, Ruifei and Li, Guanbin and Li, Zhen and Cui, Shuguang and Qian, Dahong and Yu, Yizhou},
booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
pages={253--262},
year={2020},
organization={Springer}
}
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