saraminguez

saraminguez's Stars

• ireneraven/IDRiD

  Análisis de lesiones causadas por retinopatía diabética

  Language:Python21

• YijinHuang/pytorch-classification

  A general, feasible, and extensible framework for classification tasks.

  Language:Python5818

• lorenzo-park/domain-adaptation-pytorch-lightning

  Language:Python8

• DeepMicroscopy/MIDOG

  MItosis DOmain Generalization Challenge 2021/2022

  Language:Python145

• YanchaoYang/FDA

  Fourier Domain Adaptation for Semantic Segmentation

  Language:Python49679

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.2k649

• deepdrdoc/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.

  4118

• junkunyuan/Awesome-Domain-Generalization

  Awesome things about domain generalization, including papers, code, etc.

  36839

• HzFu/EyeQ

  EyeQ : Dataset of Retinal Image Quality Assessment

  Language:Python14041

• FDU-VTS/Awesome-Diabetic-Retinopathy-Detection

  Papers and Public Datasets for Diabetic Retinopathy Detection

  12719