fatfeifei

3D-Attention-Keras

This repo contains the 3D implementation of the commonly used attention mechanism for imaging.

3D-Grad-CAM

This repo contains Grad-CAM for 3D volumes.

augmented-volumetric-image-generator

Customised Keras' ImageDataGenerator for 3D volumetric medical image

Brain-Tissue-Segmentation-Using-Deep-Learning-Pipeline-NeuroNet

This Repository is for the MISA Course final project which was Brain tissue segmentation. we adopt NeuroNet which is a comprehensive brain image segmentation tool based on a novel multi-output CNN architecture which has been trained and tuned using IBSR18 dataset

CERR

Matlab/Octave based platform for Radiological Research.

CLAM

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

cnn-hnscc

Deep learning based outcome modelling from CT scans of HNSCC patients

COVID-19_prognosis

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

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.

u-net

U-Net: Convolutional Networks for Biomedical Image Segmentation

fatfeifei/u-net

U-Net: Convolutional Networks for Biomedical Image Segmentation

fatfeifei/3D-Attention-Keras

This repo contains the 3D implementation of the commonly used attention mechanism for imaging.

fatfeifei/CERR

Matlab/Octave based platform for Radiological Research.

fatfeifei/CLAM

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

fatfeifei/COVID-19_prognosis

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

fatfeifei/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.

fatfeifei/easylearn_dev

Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other biomarker-based disease diagnosis and prediction, treatment response prediction, disease subtyping, dimensional decoding for transdiagnostic psychiatric diseases or other diseases, disease mechanism exploration and etc.

fatfeifei/ER_PDAC

fatfeifei/ESCC_ML

Deep-learning Radiomics for Classification Modelling

fatfeifei/External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fatfeifei/fastmoe

A fast MoE impl for PyTorch

fatfeifei/GBC

fatfeifei/hcc_recurrence

fatfeifei/keras-resnet3d

Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.

fatfeifei/M3d-Cam

fatfeifei/main

fatfeifei/MCPcounter

fatfeifei/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.

fatfeifei/nnUnet-OnWindows

un nnUnet on Windows

fatfeifei/PaddleViT

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

fatfeifei/PDAC_recurrence_prediction

fatfeifei/python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

fatfeifei/pytorch-mixture-of-experts

using deepspeed to build a distributed mixture of experts model

fatfeifei/scikit-survival

Survival analysis built on top of scikit-learn

fatfeifei/SlideGraph

fatfeifei/SurvBenchmark

fatfeifei/SurvCNN

Redefining the utility of multi-omics data in cancer survival analysis

fatfeifei/TFG

Analysis of the SVM-RFE algorithm for feature selection

fatfeifei/TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

fatfeifei/wsi-scanner-segmentation

Whole Slide Image Segmentation