Stars
This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings.
Official Inplementation of 《WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole Slide Images》(MICCAI 2024 oral)
VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
SlideRunner is a tool for massive cell annotations in whole slide images
Whole Slide image (WSI) conversion for brightfield histology images
Path-AI / openslide
Forked from openslide/openslideC library for reading virtual slide images
Bio-Formats image file format to raw format converter
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
PathDino - Rotation-Agnostic Image Representation Learning for Digital Pathology (CVPR 2024)
Bio-Formats is a Java library for reading and writing data in life sciences image file formats. It is developed by the Open Microscopy Environment. Bio-Formats is released under the GNU General Pub…
A curated list of foundation models for vision and language tasks in medical imaging
Histopathology Feature Extractors (2024)
Segmentation of HER2 overexpression in histopathology images with fuzzy decision tree
Prediction of HER2 overexpression status and IHC score as seen in "Predicting the HER2 status in esophageal cancer from tissue microarrays using convolutional neural networks".
An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)
Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
Repository for storing datasets that report detailed lymphatic progression patterns of head & neck cancer patients.
Meditron is a suite of open-source medical Large Language Models (LLMs).
Open source Python library for building bioimage analysis pipelines
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.