google/hear-pytorch

> [!IMPORTANT] > 🎉 Check out the latest version of Phikon here: Phikon-v2 > > Phikon is a self-supervised learning model for histopathology trained with iBOT.

Google ViT model is finetuned on lung and colon histopathology image classification dataset. The dataset is available on Kaggle.

This repository contains a fine-tuned Vision Transformer (ViT) model trained on a large collection of MRI scans for brain tumor classification. The model classifies MRI images into one of three categories:

The Clinical Assertion and Negation Classification BERT is introduced in the paper Assertion Detection in Clinical Notes: Medical Language Models to the Rescue? . The model helps structure information in clinical patient letters by classifying medical conditions mentioned in the letter into…

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