Alternatives and similar repositories for fastai_scans:

Users that are interested in fastai_scans are comparing it to the libraries listed below

• jcreinhold / niftidataset
  pytorch dataset class for reading and transforming NIfTI files
  ☆63Updated 3 years ago
• Project-MONAI / MONAIBootcamp2020
  Material for the 2020 MONAI Bootcamp
  ☆66Updated 4 years ago
• google-deepmind / tcia-ct-scan-dataset
  Dataset of head and neck CT scans and segmentations in NRRD format.
  ☆90Updated 4 years ago
• JanaLipkova / s3
  Skull stripping and brain tissue segmentation
  ☆120Updated 5 years ago
• MIC-DKFZ / BodyPartRegression
  ☆66Updated 11 months ago
• ai-med / quickNAT_pytorch
  PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using…
  ☆103Updated 4 years ago
• kbressem / faimed3d
  Extension to fastai for volumetric medical data
  ☆33Updated last year
• MIC-DKFZ / RegRCNN
  This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MI…
  ☆51Updated 2 years ago
• KeremTurgutlu / dicom-contour
  ☆76Updated last year
• radtorch / radtorch
  Official repository for RADTorch - The Medical Imaging Machine Learning Framework
  ☆21Updated 6 months ago
• ozan-oktay / Medical-Image-Analysis-IPython-Tutorials
  ☆40Updated 7 years ago
• RSNA / AI-Deep-Learning-Lab-2021
  Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021
  ☆81Updated 2 years ago
• RSIP-Vision / medio
  Medical images I/O python package
  ☆34Updated 2 years ago
• QTIM-Lab / DeepNeuro
  A deep learning python package for neuroimaging data. Made by:
  ☆126Updated 4 years ago
• FabianIsensee / BatchViewer
  A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.
  ☆51Updated last month
• RSNA / MagiciansCorner
  Notebooks, datasets, other content for the Radiology:AI series known as Magicians Corner by Brad Erickson
  ☆31Updated 2 years ago
• baumgach / PHiSeg-code
  Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019
  ☆125Updated 2 years ago
• CCI-Bonn / HD-GLIO
  Automated deep-learning based brain tumor segmentation on MRI
  ☆28Updated 2 years ago
• yala / OncoNet_Public
  Developing Deep Learning Models for Mammography
  ☆35Updated 2 years ago
• delira-dev / delira
  Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow
  ☆220Updated 4 years ago
• comic / evalutils
  evalutils helps users create extensions for grand-challenge.org
  ☆23Updated 7 months ago
• NifTK / NiftyNetModelZoo
  [unmaintained] This repository hosts NiftyNet networks pre-trained for specific tasks
  ☆50Updated 4 years ago
• BraTS / Instructions
  Instructions on how to dockerize your algorithm and additional info, as applied in the BraTS challenge
  ☆24Updated 4 years ago
• MIC-DKFZ / basic_unet_example
  An example project of how to use a U-Net for segmentation on medical images with PyTorch.
  ☆144Updated 8 months ago
• perslev / MultiPlanarUNet
  Multi-Planar UNet for autonomous segmentation of 3D medical images
  ☆190Updated last year
• MGH-LMIC / windows_optimization
  Implementation of "Practical Window Setting Optimization for Medical Image Deep learning"
  ☆42Updated 5 years ago
• notmatthancock / pylidc
  An object relational mapping for the LIDC dataset using sqlalchemy.
  ☆105Updated 8 months ago
• Project-MONAI / MONAIBootcamp2021
  Materials for the 2021 MONAI Bootcamp
  ☆108Updated 3 years ago
• DLTK / models
  DLTK Model Zoo
  ☆114Updated 6 years ago
• ncullen93 / Unet-ants
  UNet deep learning model for medical image segmentation
  ☆48Updated last year