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Braintumor

This repository contains the trained artifacts and supporting files for a brain tumor classification pipeline. The artifacts here are the result of a research/engineering pipeline that extracts features from medical...

KindOtherVersionRevision f35d9e0

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Other
File size
90.0 MB
Version
vRevision f35d9e0
Updated
Sep 17, 2026
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0
Source
Hugging Face

Source description

Brain Tumor Classification — Hugging Face Model Repo

This repository contains the trained artifacts and supporting files for a brain tumor classification pipeline. The artifacts here are the result of a research/engineering pipeline that extracts features from medical images, selects important features, trains an attention-based classifier, and packages artifacts for inference and explainability.

This repo is intended to be stored as a private model repository on Hugging Face. The README documents the contents, how to run inference locally, how to upload the model to a private Hugging Face repo, and notes on reproducibility and licensing.

Repository contents

Files in this workspace (as of this snapshot):

  • brain_tumor_model.pth — PyTorch checkpoint for the Swin Transformer based feature extractor used to create feature vectors from input images.

Contact and citation

If you use this model or have questions please contract us.

Francis Rudra D Cruze - francisrudra@gmail.com.

If you use these models in academic research, please cite:


Sources

1 source
Hugging FacePrimaryVersion f35d9e060595dbe25c4669a2caef858a1177a740
huggingface.co/rudradcruze/braintumor/tree/f35d9e060595dbe25c4669a2caef858a1177a740

Verified Sep 17

Model artifacts

1 artifact

brain_tumor_model.pth

pth · 90.0 MB · SHA-256 c1b4543c4e05…7816 · Hugging Face

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Source excerpts

2 excerpts

--- license: mit tags: - medical - brain-toumor - classification - computer-vision - deep-learning - ConvNeXT - Attention-GRU library_name: pytorch pipeline_tag: image-classification --- # Brain Tumor Classification — Hugging Face Model Repo This repository contains the trained artifacts and supporting files for a brain tumor classification pipeline. The artifacts here are the result of a research/engineering pipeline that extracts features from medical images, selects important features, trains an attention-based classifier, and packages artifacts for inference and explainability. This repo is intended to be stored as a private model repository on Hugging Face. The README documents the contents, how to run inference locally, how to upload the model to a private Hugging Face repo, and notes on reproducibility and licensing. ## Repository contents Files in this workspace (as of this snapshot): - `brain_tumor_model.pth` — PyTorch checkpoint for the Swin Transformer based feature extractor used to create feature vectors from input images. ## Contact and citation If you use this model or have questions please contract us. Francis Rudra D Cruze - [francisrudra@gmail.com](mailto:francisrudra@gmail.com). If you use these models in academic research, please cite: ---

Source context: 0 downloads · 0 likes · Pipeline image-classification · Library pytorch · Repo rudradcruze/braintumor