Braintumor

• 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 - [email protected].

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

--- 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 - [[email protected]](mailto:[email protected]). If you use these models in academic research, please cite: ---