Alternatives and similar repositories for TCIA_Notebooks

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

• primakov / precision-medicine-toolbox
  Precision medicine toolbox
  ☆70Updated last year
• AIM-Harvard / foundation-cancer-image-biomarker
  [Nature Machine Intelligence 2024] Code and evaluation repository for the paper
  ☆120Updated 5 months ago
• primakov / DuneAI-Automated-detection-and-segmentation-of-non-small-cell-lung-cancer-computed-tomography-images
  Repository supporting the original research paper in Nature Communications (Primakov et al. 2022)
  ☆81Updated last year
• bhklab / med-imagetools
  Transparent and reproducible medical image processing pipelines in Python.
  ☆50Updated last week
• kaiko-ai / eva
  Evaluation framework for oncology foundation models (FMs)
  ☆112Updated last week
• oncoray / mirp
  Medical Image Radiomics Processor
  ☆70Updated last week
• Project-MONAI / MetricsReloaded
  ☆89Updated 2 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
• nadeemlab / ImPartial
  Interactive deep learning whole-cell segmentation and thresholding using partial annotations
  ☆39Updated last month
• RSNA / AI-Deep-Learning-Lab-2023
  ☆45Updated last year
• StanfordMIMI / Comp2Comp
  Computed tomography to body composition (Comp2Comp).
  ☆91Updated last month
• neuronflow / BraTS-Toolkit
  Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.
  ☆89Updated 10 months ago
• KibromBerihu / ai4elife
  This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [1…
  ☆35Updated last year
• raidionics / Raidionics
  Software for automatic segmentation and generation of standardized clinical reports of brain tumors from MRI volumes
  ☆42Updated 3 weeks ago
• AIM-Harvard / DeepContrast
  A deep learning-based fully-automatic intravenous contrast detection tool for head-and-neck and chest CT scans.
  ☆23Updated last year
• Project-MONAI / monai-bootcamp
  ☆67Updated last year
• pwoznicki / AutoRadiomics
  The easiest tool for experimenting with radiomics features.
  ☆40Updated last year
• ImagingDataCommons / IDC-Tutorials
  Self-guided notebook tutorials to help get started with IDC
  ☆35Updated this week
• baiwenjia / ukbb_cardiac
  Some code for processing and analysing UK Biobank cardiac MR images.
  ☆174Updated last month
• MStarmans91 / WORC
  Workflow for Optimal Radiomics Classification
  ☆76Updated last week
• UMEssen / SALT
  Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hiera…
  ☆81Updated 10 months ago
• Project-MONAI / MONAIBootcamp2021
  Materials for the 2021 MONAI Bootcamp
  ☆109Updated 3 years ago
• mahmoodlab / TriPath
  Analysis of 3D pathology samples using weakly supervised AI - Cell
  ☆102Updated 6 months ago
• AICAN-Research / FAST-Pathology
  ⚡ Open-source software for deep learning-based digital pathology
  ☆133Updated last year
• kondratevakate / mri-deep-learning-tools
  Resurces for MRI images processing and deep learning in 3D
  ☆142Updated 3 years ago
• rachellea / ct-volume-preprocessing
  End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Ma…
  ☆72Updated 4 years ago
• MLNeurosurg / deepglioma
  AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
  ☆32Updated 2 years ago
• Google-Health / imaging-research
  ☆180Updated 5 months ago
• RSNA / AI-Deep-Learning-Lab-2022
  ☆50Updated last year
• andreped / NoCodeSeg
  🔬 Code-free deep segmentation for computational pathology
  ☆54Updated last year