Submit Format:¶
you should submit a docker container including your algorithm following the instruction: https://github.com/PerceptionComputingLab/TDSC-ABUS2023/blob/main/how to build a docker image for your algorithm.pdf
Please upload the docker container to a cloud storage service of your choice, such as Google Drive or Baidu Netdisk. Once the upload is complete, generate a shareable link and send it to our official email address: tdscabus@gmail.com.
Classification Result Format:¶
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The classification results should be saved as a .csv file under classification folder.
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The prediction .csv file should contain the columns case(an index) and prob(the predicted malignant prob of this case), and the results should be saved in the following format:
case | prob |
---|---|
130 | 0.1 |
131 | 0.9 |
132 | 0.5 |
… |
Segmentation Result Format:¶
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The segmentation results should be saved as .nii.gz under segmentation folder.
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The segmentation results should be named the same way as the corresponding image files, and the folder structure should be the same as the example below:
|— Segmentation
| |—— MASK_130.nrrd
| |—— MASK_131.nrrd
| |—— MASK_132.nrrd
| |——...
Detection Result Format:¶
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The detection results should be saved as a .csv file under detection folder.
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The prediction .csv file should have eight columns:
public_id(patient ID),coordX,coordY,coordZ(the center of the bounding box),x_length,y_length, z_length(length of the bounding boxes in three dimensions)and probability(detection confidence), and the results should be saved in the following format:
public_id | coordX | coordY | coordZ | x_length | y_length | z_length | probability |
---|---|---|---|---|---|---|---|
130 | 249.5 | 142 | 376 | 35 | 256 | 144 | 0.7 |
131 | … | ||||||
132 | … | ||||||
… |