yang20085936

MONAI

AI Toolkit for Healthcare Imaging

qupath

QuPath - Bioimage analysis & digital pathology

slideflow

Deep learning pipeline for digital pathology, with both Tensorflow and PyTorch support.

3d-prostate-segmentation

Segmentation of prostate from MRI scans

ASAP

Program for the analysis and visualization of whole-slide images in digital pathology

CLAM

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

clifs

Contrastive Language-Image Forensic Search allows free text searching through videos using OpenAI's machine learning model CLIP

DeepGleason

a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

dicom2nifti

DigiPathAI

Digital Pathology AI

FAST-Pathology

⚡ Open-source software for deep learning-based digital pathology

fotiaoqiang

佛跳墙官方版本下载页 翻墙 代理 科学上网 外网 加速器 梯子 路由

gpt_academic

为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等

Histo-cloud

histolab

Library for Digital Pathology Image Processing

HistomicsTK

A Python toolkit for pathology image analysis algorithms.

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

imgclsmob

Sandbox for training deep learning networks

Keras-GAN

Keras implementations of Generative Adversarial Networks.

LLMs-In-China

**大模型

MedicalNet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

MIL-nature-medicine-2019

nnUNet

NoCodeSeg

🔬 Code-free deep segmentation for computational pathology

PathomicFusion

Fusing Histology and Genomics via Deep Learning - IEEE TMI

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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tiatoolbox

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.