智慧医疗实验室
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  • 1, CT图像中新冠肺炎感染区域的自动分割

    https://github.com/HiLab-git/COPLE-Net 

    A Noise-robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions from CT Images. IEEE Transactions on Medical Imaging, 2020.


    2, 多模态磁共振图像脑肿瘤自动分割

    https://github.com/taigw/brats17

    获MICCAI 2017 脑肿瘤分割挑战赛(BraTS) 第二名(70余个国际参赛队伍)。

    Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks with Uncertainty Estimation,Frontiers in Computational Neuroscience, 2019.


    3,CT图像中鼻咽癌区域自动勾画  

    https://github.com/HiLab-git/Head-Neck-GTV 

    获MICCAI 2019 StrucSeg 国际挑战赛鼻咽癌区域分割第二名(20余个国际参赛队伍)。

    Automatic Segmentation of Gross Target Volume of asopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention." Neurocomputing, 2020.


    4,磁共振图像中胎儿大脑区域自动定位、分割和高分辨率重建 

    https://github.com/gift-surg/fetal_brain_seg 

    An Automated Framework for Localization, Segmentation and Superresolution Reconstruction of Fetal Brain MRI. NeuroImage, 2020.

    5,不确定性引导的交互式图像分割

    https://github.com/HiLab-git/UGIR

    Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. MICCAI, 2020.

    6,半监督图像分割算法

    https://github.com/HiLab-git/SSL4MIS

    Semi-supervised Medical Image Segmentation through Dual-task Consistency, AAAI, 2021.

数据集
  • 1, UESTC-COVID-19 Dataset

    120 CT scans of COVID-19 patients with annotations of pneumonia lesions. This dataset is helpful for developing automatic machine learning methods for pneumonia lesion segmentation. It is publicly available at here.