Start: Feb. 21, 2020, 7:01 a.m.
Description: During the training and validation phase, a dataset of 200 contoured CT images and their corresponding dose distributions will be made available to all contestants. Contestants will use this data to train their models. A separate validation set of 40 contoured CT images is also provided for contestants to validate the effectiveness of their models. Predictions made on the validation set can be submitted to the CodaLab platform. All submission will be scored according to the competition evaluation metrics, and those corresponding scores will be used to populate a public leaderboard. This gives contestants the chance to compare results with others. These validation predictions will not be used to determine the winners of the challenge.
Start: June 1, 2020, 7 a.m.
Description: The testing phase of the competition. During the testing phase, a dataset of 100 new contoured CT images will be made available. Contestants will use their final models, which should have been tuned in the validation phase, to make predictions on this new unseen dataset. These final predictions must be submitted to CodaLab. The results of this evaluation will determine the winners, and the testing phase leaderboard will be revealed a week after the testing phase concludes. Once your submission, please complete our model survey (https://forms.gle/Pb8WhMpKqZWf1a8F9) to summarize your model. We will consider your submission complete only if this survey is submitted. Any submission made on CodaLab that is not associated with a survey response will be considered void, and it will not be ranked in the final leaderboard.
June 1, 2020, 6:59 a.m.
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