T1 MLOps Stack — ChestXplain Checkpoint
This repository contains the approved DenseNet121 checkpoint used by the ChestXplain research/demo application. The application performs multi-label classification of 14 thoracic conditions and provides Grad-CAM visual explanations.
Training provenance
- Architecture: DenseNet121 with a multi-label classification head
- Dataset: NIH ChestX-ray14-derived training subset
- Training subset: 20,000 images
- Checkpoint epoch: 6
- Validation AUC: 0.813 (recorded in the checkpoint metadata)
- Checkpoint SHA-256:
5bf5e15396805ac85a5c1f1839813bc4ea3a66ff694f5ed6f12c1fd2eaee0cbf - Artifact:
densenet121_chestxray.pth
The checkpoint is provided as a model artifact for the associated portfolio MLOps demonstration. NIH images and source data are not included in this repository.
Intended use
Research, engineering evaluation, and educational/demo use only. This artifact is not validated for clinical deployment and must not be used to diagnose, treat, or make decisions about patients.
Limitations
- The model was trained on a 20,000-image subset rather than the complete NIH ChestX-ray14 dataset.
- Dataset labels are noisy and may not represent definitive clinical diagnoses.
- Performance may vary across institutions, scanners, patient populations, acquisition protocols, and disease prevalence.
- Reported metrics are not evidence of clinical efficacy, safety, fairness, or regulatory approval.
- Grad-CAM highlights model attribution regions; it is not a clinical explanation or proof of pathology.
- The checkpoint has not undergone external validation, prospective evaluation, calibration analysis, or regulatory review.
License and provenance
The model artifact is released under the repository's MIT license for research/demo purposes, subject to the terms and attribution requirements of the underlying NIH ChestX-ray14 dataset and its original publication. See the associated source project for inference code, evaluation context, and full citations: