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dl-mri

Deep Learning MRI image analysis
Core codes of tensorflow implementation for end to end survival prediction in rectal cancer MRI

Data

A csv file in the following formate, see also clini.csv:

id ori_path mask_path os os_e dfs dfs_e
10000 /input/ori/A1 ../input/mask/pre-A1.nii 100 1 100 1

Training

Training script is in train.py file, network structure based on ViTB/16, from ViT-kera repository, a Keras implementation of ViT.

Loss

Cox partial likelihood as the loss function for the network; Cindex is the evaluation metric of model.
$$L(\theta)= -\sum_{i: E_{i}=1}\left(\hat{h}{\theta}\left(x{i}\right)-\log \sum_{j \in \Re\left(T_{i}\right)} e^{\hat{h}{\theta}\left(x{j}\right)}\right)$$

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Deep Learning MRI image analysis

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