MiriamCobo

MiriamCobo's Stars

• Ziwei-Niu/DG_for_MedIA

  514

• nitrain/nitrain

  Train AI models efficiently on medical images using any framework

  Language:Python1.9k302

• MASILab/UNesT

  The official Pytorch implementation of UNesT

  Language:Python195

• fahadshamshad/awesome-transformers-in-medical-imaging

  A collection of resources on applications of Transformers in Medical Imaging.

  1.2k182

• deephdc/image-classification-tf

  Repository to perform image classification using tensorflow/keras.

  Language:Jupyter Notebook125

• uci-cbcl/DeepLung

  WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

  Language:Python15154

• jaeho3690/LIDC-IDRI-Segmentation

  This is the segmentation process of the LIDC-IDRI dataset. Checkout my preprocessing repository to use this repository

  Language:Jupyter Notebook629

• MIC-DKFZ/LIDC-IDRI-processing

  Scripts for the preprocessing of LIDC-IDRI data

  Language:Python7519

• bnsreenu/python_for_microscopists

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

  Language:Jupyter Notebook3.9k2.4k

• mikejhuang/LungNoduleDetectionClassification

  Automated Extraction and Classification of Pulmonary Lung Nodules from CT Scans

  Language:Jupyter Notebook12957

• MIC-DKFZ/nnUNet

  Language:Python5.6k1.7k

• wentaozhu/DeepLung

  WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

  Language:Jupyter Notebook310143

• QIICR/lidc2dicom

  Scripts for converting TCIA LIDC-IDRI collection derived data into standard DICOM representation from project-specific XML format.

  Language:Jupyter Notebook2512

• jaeho3690/LIDC-IDRI-Preprocessing

  This is the preprocessing step of the LIDC-IDRI dataset

  Language:Jupyter Notebook15540

• lfz/DSB2017

  The solution of team 'grt123' in DSB2017

  Language:Python1.2k418

• kelvinxu/arctic-captions

  Language:Python960349

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.5k3.3k

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34k18.7k