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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19551358 |
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Table of Contents:
- <p>This dataset accompanies the study <em>“An explainable AI approach for comprehensive detection and grading in oral cancer”</em>.</p> <p><strong>Contents of this repository:</strong></p> <p><strong>1. predictions-on-test-data/</strong></p> <ul> <li><code>binary_all_folds_predictions.csv</code>: Model predictions for binary classification (OSCC vs normal) on the test dataset.</li> <li><code>multiclass_all_folds_predictions.csv</code>: Model predictions for OSCC subtype classification (WD, MD, PD) on the test dataset.</li> </ul> <p><strong>2. model-weights/</strong></p> <ul> <li>Trained model weights (.pth files) corresponding to cross-validation folds used in the study. These can be used to reproduce model inference using the provided codebase.</li> </ul> <p><strong>3. sample_WSI/</strong></p> <ul> <li>A small subset of de-identified whole-slide images provided for reference and visualization of histopathological patterns.</li> </ul> <p><strong>4. features/</strong></p> <ul> <li><code>Binary_features_resnet50.hdf5</code>: Patch-level feature embeddings extracted using a ResNet50 backbone for binary classification.</li> <li><code>multiclass_features_resnet50.hdf5</code>: Patch-level feature embeddings used for OSCC subtype classification.</li> </ul> <p>These feature files enable efficient reproduction of the MIL inference pipeline without requiring re-processing of whole-slide images, which are large and subject to sharing restrictions.</p> <p><strong>Notes on data availability:</strong><br>The complete dataset, comprising multi-institutional whole-slide histopathology images, is not publicly available due to ethical and institutional restrictions. These data were collected under approved ethics protocols that permit research use but do not allow unrestricted public redistribution.</p> <p>The implementation code for the OralPatho framework is available at:<br><a class="decorated-link" href="https://github.com/NishaChaudhary23/oralpatho" rel="noopener">https://github.com/NishaChaudhary23/oralpatho</a></p> <p> </p>