Models

This repository contains a fine-tuned Vision Transformer (ViT) model for classifying chest X-ray images, utilizing the CheXpert dataset.

This model performs both segmentation and classification on chest radiographs (X-rays).

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Model artifact mirrored from the HuggingFace Hub.

Model artifact mirrored from the HuggingFace Hub.

SMAFormer: Synergistic Multi-Attention Transformer for Medical Image

Model artifact mirrored from the HuggingFace Hub.

Channel-agnostic image encoding model CA-MAE with a ViT-S/16 encoder backbone designed for microscopy image featurization.

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

This is a convenient code wrapper to run Lundberg lab SubCell model in inference with your own images

AI Toolkit for Healthcare Imaging

MedGemma 1.5 is Google's 4B multimodal medical model, built on Gemma 3.