chest-ct-foundation-model-benchmark

Single-protocol benchmark for chest-CT foundation models: one frozen-probe protocol, shared patient-disjoint splits, bootstrap CIs, every encoder probed by the same harness

Overview

A single-protocol evaluation of frozen chest-CT foundation models.

Published CT encoders are difficult to compare. Each reports results on its own data partition, under its own probing recipe, with its own preprocessing. This repository provides the components needed to compare them directly: a unified loader that normalizes heterogeneous encoders behind one interface, fixed patient-disjoint splits distributed as data, and a frozen-probe protocol applied identically to every model.

Maintained by Evan W. Damron. Apache-2.0. Companion to DALE-CT.

splits/splits.csv defines every partition used here. Each row assigns one volume to one role within one experiment:

Identifiers are given without file extensions. CT-RATE volumes appear as {volume_id}.nii.gz in the official release; RAD-ChestCT uses NoteAcc_DEID.

Linear multiple-instance probes over per-volume token bags.

From the project’s README on GitHub.

At a glance

RepositoryKentucky-Open-Science/chest-ct-foundation-model-benchmark
Research areaMedical imaging & digital pathology
Primary languagePython
LicenseApache-2.0
Stars / forks0 / 0
Open issues and pull requests0
Created2026-08-26
Last push2026-09-25
Default branchmain
Topicsbenchmark, computed-tomography, foundation-models, medical-imaging, representation-learning

What the README covers

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Get the code

git clone https://github.com/Kentucky-Open-Science/chest-ct-foundation-model-benchmark.git