Alternatives and similar repositories for OncoNet_Public:

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

• yala / OncoServe_Public
  Sharing Deep Learning Models for Breast Cancer Risk
  ☆40Updated 2 years ago
• nyukat / mammography_metarepository
  Meta-repository of screening mammography classifiers
  ☆67Updated 2 years ago
• riblidezso / frcnn_cad
  Computer aided detection using Faster-RCNN
  ☆105Updated 7 years ago
• nyukat / GMIC
  An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
  ☆176Updated 9 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
• aisinai / rad-report-annotator
  ☆24Updated 2 years ago
• MIC-DKFZ / BodyPartRegression
  ☆69Updated last year
• rcuocolo / PROSTATEx_masks
  Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.
  ☆82Updated 2 years ago
• imedslab / DeepKnee
  Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
  ☆68Updated 2 months ago
• nyukat / MRI_AI
  This repository contains code that was used to train and evaluate deep learning models, as described in the article "Improving breast can…
  ☆13Updated 2 years ago
• MGH-LMIC / windows_optimization
  Implementation of "Practical Window Setting Optimization for Medical Image Deep learning"
  ☆42Updated 5 years ago
• KeremTurgutlu / dicom-contour
  ☆75Updated last year
• jcreinhold / niftidataset
  pytorch dataset class for reading and transforming NIfTI files
  ☆63Updated 3 years ago
• CBICA / CaPTk
  Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: h…
  ☆187Updated last year
• nyukat / BIRADS_classifier
  High-resolution breast cancer screening with multi-view deep convolutional neural networks
  ☆158Updated 6 years ago
• Project-MONAI / MONAIBootcamp2021
  Materials for the 2021 MONAI Bootcamp
  ☆109Updated 3 years ago
• nyukat / GLAM
  Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
  ☆45Updated 2 years ago
• renato145 / fastai_scans
  Fastai extension to work with 3d medical images
  ☆41Updated 5 years ago
• anindox8 / Deep-Segmentation-Features-for-Weakly-Supervised-3D-Disease-Classification-in-Chest-CT
  Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN …
  ☆34Updated 4 years ago
• StanfordMIMI / Comp2Comp
  Computed tomography to body composition (Comp2Comp).
  ☆79Updated 2 weeks ago
• ozan-oktay / Medical-Image-Analysis-IPython-Tutorials
  ☆42Updated 7 years ago
• fjeg / ddsm_tools
  ☆30Updated 9 years ago
• ImagingInformatics / machine-learning
  Repository for activities of the machine learning committee
  ☆66Updated 6 months ago
• yala / Mirai
  This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.
  ☆133Updated 5 months ago
• SarderLab / H-AI-L
  A human in the loop solution to machine learning for pathologists (easy semantic segmentation of WSI)
  ☆51Updated 4 years ago
• neergaard / MRNet
  All credit goes to the authors listed at https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002699
  ☆33Updated 6 years ago
• Google-Health / imaging-research
  ☆169Updated 2 months ago
• jasonccai / HeadCTSegmentation
  Multi-class U-Net for head CT segmentation
  ☆32Updated 2 years ago
• notmatthancock / pylidc
  An object relational mapping for the LIDC dataset using sqlalchemy.
  ☆105Updated 9 months ago
• RSNA / MagiciansCorner
  Notebooks, datasets, other content for the Radiology:AI series known as Magicians Corner by Brad Erickson
  ☆32Updated 2 years ago