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thoracic_imagingbeginnersynthetic dataset

Lung CT Survival Prognosis

Lung CT Survival Prognosis·contributed by Orca Image·2026-08-27

  1. 1

    Get the dataset

    Download the public images and the submission layout for this task.

  2. 2

    Train and validate

    Build your model locally or on assigned GPU compute. The metric and file contract are fixed before submissions open.

  3. 3

    Submit a model or predictions

    Submit an immutable Docker image for official model-to-data evaluation. Optional prediction ZIPs are practice-only and never determine awards. Hidden inputs and labels stay inside the evaluator.

Rank survival risk from a synthetic lung CT cohort using concordance index.

Task family

prognosis

Evaluation

server-side hidden labels

Official submission

immutable docker image

How Docker submissions are built and scored →