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
  ☆64Updated 4 years ago
• Project-MONAI / MONAIBootcamp2020
  Material for the 2020 MONAI Bootcamp
  ☆65Updated 5 years ago
• KeremTurgutlu / dicom-contour
  ☆74Updated 2 years ago
• google-deepmind / tcia-ct-scan-dataset
  Dataset of head and neck CT scans and segmentations in NRRD format.
  ☆99Updated 5 years ago
• JanaLipkova / s3
  Skull stripping and brain tissue segmentation
  ☆121Updated 6 years ago
• DLTK / models
  DLTK Model Zoo
  ☆113Updated 7 years ago
• nyukat / GMIC
  An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
  ☆183Updated last year
• kbressem / faimed3d
  Extension to fastai for volumetric medical data
  ☆33Updated 2 years ago
• MIC-DKFZ / BodyPartRegression
  ☆79Updated 5 months ago
• RSNA / AI-Deep-Learning-Lab-2021
  Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021
  ☆81Updated 3 years ago
• imedslab / OAProgression
  Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
  ☆85Updated 4 years ago
• perslev / MultiPlanarUNet
  Multi-Planar UNet for autonomous segmentation of 3D medical images
  ☆196Updated 2 years ago
• MGH-LMIC / windows_optimization
  Implementation of "Practical Window Setting Optimization for Medical Image Deep learning"
  ☆42Updated 6 years ago
• ivadomed / ivadomed
  Repository on the collaborative IVADO medical imaging project between the Mila and NeuroPoly labs.
  ☆166Updated 8 months ago
• jasonccai / HeadCTSegmentation
  Multi-class U-Net for head CT segmentation
  ☆35Updated 8 months ago
• nyukat / BIRADS_classifier
  High-resolution breast cancer screening with multi-view deep convolutional neural networks
  ☆162Updated 7 years ago
• DIAGNijmegen / rse-grand-challenge-metrics
  evalutils helps users create extensions for grand-challenge.org
  ☆23Updated last month
• Project-MONAI / MONAIBootcamp2021
  Materials for the 2021 MONAI Bootcamp
  ☆111Updated 4 years ago
• QTIM-Lab / DeepNeuro
  A deep learning python package for neuroimaging data. Made by:
  ☆129Updated 5 years ago
• notmatthancock / pylidc
  An object relational mapping for the LIDC dataset using sqlalchemy.
  ☆113Updated last year
• NifTK / NiftyNetModelZoo
  [unmaintained] This repository hosts NiftyNet networks pre-trained for specific tasks
  ☆52Updated 4 years ago
• ai-med / quickNAT_pytorch
  PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using…
  ☆104Updated 5 years ago
• analysiscenter / radio
  RadIO is a library for data science research of computed tomography imaging
  ☆226Updated 4 years ago
• ozan-oktay / Medical-Image-Analysis-IPython-Tutorials
  ☆42Updated 8 years ago
• 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…
  ☆52Updated 3 years ago
• MIC-DKFZ / basic_unet_example
  An example project of how to use a U-Net for segmentation on medical images with PyTorch.
  ☆153Updated last year
• ELEKTRONN / elektronn3
  A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biome…
  ☆170Updated 2 years ago
• douyang / EchoNetDynamic
  EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
  ☆33Updated 5 years ago
• masadcv / ECONet-MONAILabel
  Official Implementation of ECONet: Efficient Convolutional Online Likelihood Network for Interactive Segmentation
  ☆17Updated 2 years ago
• Borda / kaggle_vol-3D-classify
  Predict the status of a genetic biomarker important for brain cancer treatment
  ☆39Updated 4 months ago