https://github.com/cv-shuchanglyu/mmotu_ds2net

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Host: GitHub
Owner: CV-ShuchangLyu
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Fork of cv516Buaa/MMOTU_DS2Net

Created almost 4 years ago · Last pushed almost 4 years ago

https://github.com/CV-ShuchangLyu/MMOTU_DS2Net/blob/main/

# MMOTU_DS²Net

This repo is the implementation of ["A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation"](https://arxiv.org/abs/2207.06799). we refer to  [MMSegmentation](https://github.com/open-mmlab/mmsegmentation) and [MMGeneration](https://github.com/open-mmlab/mmgeneration) and mix them to implement unsupervised domain adaptation based segmentation (UDA SEG) task. Many thanks to SenseTime and their two excellent repos.


    
    
    
    


## Dataset

**Multi-Modality Ovarian Tumor Ultrasound (MMOTU) image dataset** consists of two sub-sets with two modalities, which are **OTU\_2d** and **OTU\_CEUS** respectively including **1469 2d ultrasound images** and **170 CEUS images**. On both of these two sub-sets, we provide pixel-wise semantic annotations and global-wise category annotations.

**MMOTU** : [google drive](https://drive.google.com/drive/folders/1c5n0fVKrM9-SZE1kacTXPt1pt844iAs1?usp=sharing) (move OTU_2d and OTU_CEUS to data folder.)

## DS²Net

### Install

1. requirements:
    
    python >= 3.7
        
    pytorch >= 1.4
        
    cuda >= 10.0
    
2. prerequisites: Please refer to  [MMSegmentation PREREQUISITES](https://mmsegmentation.readthedocs.io/en/latest/get_started.html)
        

### Training

#### Task1: Single-modality semantic segmentation


    
    
    

  
     cd MMOTU_DS2Net
     
     ./tools/dist_train.sh ./experiments/pspnet_r50-d8_769x769_20k_MMOTU/config/pspnet_r50-d8_769x769_20k_MMOTU.py 2

#### Task2: UDA semantic segmentation

### Testing

Owner

Name: Shuchang Lyu
Login: CV-ShuchangLyu
Kind: user
Location: Beijing China
Company: Beihang University

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