wenaoma Goto Github PK

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

covid-mtl

Multitask learning for automated COVID 19 diagnosis and severity assessment using CT scans

deep-diabetic-retinopathy-image-dataset-deepdrid-

Automated machine learning can facilitate the early diagnosis and timely treatment of diabetic retinopathy. Following the 1st Diabetic Retinopathy: Segmentation and Grading Challenge held with ISBI in 2018, we would like to promote the progress further through 2nd challenge using a new dataset, Deep Diabetic Retinopathy Image Dataset (DeepDRiD). The challenge is subdivided into three tasks as follows: A. Dual-View Disease Grading: Classification of fundus images according to the severity level of diabetic retinopathy using dual view retinal fundus images. B. Image Quality Estimation: Fundus quality assessment for overall image quality, artifacts, clarity, and field definition. C. Transfer Learning: Explore the generalizability of a Diabetic Retinopathy (DR) grading system. The robust and generalizable models are expected to be developed to solve clinical issues in reality.

dl_for_gctb

endo-fm

[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

fedbn

[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

mgcpy-old

MGCPY WILL NO LONGER BE UPDATED. THE NEW REPO CAN BE FOUND HERE:

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

transunet

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

ttadc