ncolab Goto Github PK

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ag-cnn

This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

benchmarktransferlearning

Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

convnext

Code release for ConvNeXt model

cxrdc

Disease Classification of Chest X-ray

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.

ensemble-pytorch

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

hsa-nrl

Hard Sample Aware Noise Robust Learning forHistopathology Image Classification

iciar2018

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

lddg

The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization' NIPS 2020.

lotenet_pytorch

Official Pytorch implementation of model in "Tensor Networks for Medical Image Classification", Raghavendra Selvan & Erik Dam, MIDL 2020

medical-multimodal-with-transfer-learning

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.

meta

:paperclip: About MIMBCD-UI Project

mtrans

【Arxiv】Accelerated Multi-Modal MR Imaging with Transformers

multi-scale-attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

novel-transfer-learning-for-medical-image-classifiction

This research paper is submitted to the cancer journal

pytorch_resnet_fpn_for_classification

Try to implement FPN with Resnet for classification. Dataset: CIFAR10

resnet_cnn_mri_adni

Code for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper

resnext_fpn

Use the frame of ResNeXt-50 and FPN model to do classification.

shoulder-c

PyTorch Implementation for Classification of Fracture/Normal Shoulder Bone X-ray Images

src-mt

[TMI'20] Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model

transfer-learning-in-medical-mri

transfer-medical-bsc-2018

transfusionreproducibilitychallenge

This is our team's code for the 2019 NeurIPS Reproducibility Challenge. We replicated a subset of results from "Transfusion: Understanding Transfer Learning for Medical Imaging" by Raghu et al. . This repo contains pytorch-lightning implementations of ResNet50 and InceptionV3 trainers for the Kaggle Diabetic Retinopathy Challenge dataset, with easy transfer learning. All hyperparameters are assigned according to the original paper https://arxiv.org/pdf/1902.07208.pdf

trove

Weakly supervised medical named entity classification

vipriors-image-classification-challenge

vit-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)