Alternatives and similar repositories for MedicalImaging

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

• Borda / kaggle_vol-3D-classify
  Predict the status of a genetic biomarker important for brain cancer treatment
  ☆39Updated 4 months ago
• Project-MONAI / MONAIBootcamp2020
  Material for the 2020 MONAI Bootcamp
  ☆65Updated 5 years ago
• mlcommons / GaNDLF
  A generalizable application framework for segmentation, regression, and classification using PyTorch
  ☆189Updated 5 months ago
• nyukat / mammography_metarepository
  Meta-repository of screening mammography classifiers
  ☆71Updated 3 years ago
• kbressem / faimed3d
  Extension to fastai for volumetric medical data
  ☆33Updated 2 years ago
• facebookresearch / CovidPrognosis
  COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations
  ☆158Updated 3 years ago
• ZFTurbo / efficientnet_3D
  EfficientNets in 3D variant for keras and TF.keras
  ☆54Updated 4 years ago
• renato145 / fastai_scans
  Fastai extension to work with 3d medical images
  ☆41Updated 6 years 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
• Project-MONAI / MONAIBootcamp2021
  Materials for the 2021 MONAI Bootcamp
  ☆111Updated 4 years ago
• WaterKnight1998 / Deep-Tumour-Spheroid
  ☆35Updated 5 years ago
• BiomedSciAI / fuse-med-ml
  A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)
  ☆152Updated 2 weeks ago
• IlliaOvcharenko / lung-segmentation
  Lung segmentation for chest X-Ray images
  ☆137Updated 2 years ago
• nyukat / GMIC
  An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
  ☆183Updated last year
• naity / image_tabular
  Integrate image and tabular data for deep learning
  ☆90Updated 2 years ago
• asvcode / fmi
  Additional functionality for use with fastai’s medical imaging module
  ☆15Updated 3 years ago
• yala / Mirai
  This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.
  ☆152Updated last year
• anjanatiha / Cancer-Detection-from-Microscopic-Tissue-Images-with-Deep-Learning
  Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels
  ☆29Updated 5 years ago
• MMIV-ML / fastMONAI
  Simplifying deep learning for medical imaging
  ☆104Updated this week
• nyukat / perception_comparison
  Differences between human and machine perception in medical diagnosis
  ☆33Updated 4 years ago
• ahmedbesbes / mrnet
  Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
  ☆136Updated 4 years ago
• frankkramer-lab / MIScnn
  A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
  ☆418Updated 2 years ago
• MIMBCD-UI / meta
  About MIMBCD-UI Project
  ☆14Updated 2 months ago
• Google-Health / imaging-research
  ☆192Updated 11 months ago
• ZFTurbo / classification_models_3D
  Set of models for classifcation of 3D volumes
  ☆188Updated last year
• pyvoxel / pyvoxel
  Fast Pythonic data structures and tools for wrangling medical images.
  ☆28Updated 6 months ago
• jasonccai / HeadCTSegmentation
  Multi-class U-Net for head CT segmentation
  ☆35Updated 8 months ago
• masadcv / ECONet-MONAILabel
  Official Implementation of ECONet: Efficient Convolutional Online Likelihood Network for Interactive Segmentation
  ☆17Updated 2 years ago
• jcreinhold / niftidataset
  pytorch dataset class for reading and transforming NIfTI files
  ☆64Updated 4 years ago
• radekosmulski / rsna-intracranial
  ☆49Updated 6 years ago