mjddh Goto Github PK

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

awesome-attention-mechanism-in-cv

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

clam

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

clinical-grade-computational-pathology-using-weakly-supervised-deep-learning-on-whole-slide-images

首个临床级别的 AI 系统可用源码

contrastive-predictive-coding-pytorch

Contrastive Predictive Coding for Automatic Speaker Verification

convnext-v2

Code release for ConvNeXt V2 model

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.

dkcsc

Data-and-Knowledge-Co-driving-for-Cancer-Subtypes-Classification

gpu_memory_track

mil-nature-medicine-2019

mjddh_git

murcl

MuRCL: Multi-instance Reinforcement Contrastive Learning for Whole Slide Image Classification

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

pathomics

[MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)

pytorch-cifar-model-hub

Implementation of Conv-based and Vit-based networks designed for CIFAR.

pytorch_classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

rlogist

RLogist = RL (reinforcement learning) + Pathologist

transmil

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

vig

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

weno

Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification

wsi-analysis

Python scripts for automatic Whole-Slide Image preprocessing.