Alternatives and similar repositories for MLstatkit

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

• czifan / DeepSurv.pytorch
  ☆140Updated last year
• CPBridge / ct_body_composition
  A deep learning framework for automated analysis of body composition from abdominal CT
  ☆18Updated last year
• yandexdataschool / roc_comparison
  The fast version of DeLong's method for computing the covariance of unadjusted AUC.
  ☆160Updated 3 years ago
• pwoznicki / AutoRadiomics
  The easiest tool for experimenting with radiomics features.
  ☆40Updated last year
• kirbyju / TCIA_Notebooks
  Notebooks for working with The Cancer Imaging Archive datasets. Have you written one? Submit a PR!
  ☆120Updated 2 months ago
• AIM-Harvard / DeepCAC
  Fully automatic coronary calcium risk assessment using Deep Learning.
  ☆41Updated 4 years ago
• TIANYIXIAseu / Radiology_HCC_MVI
  The code used in the study.
  ☆11Updated 2 years ago
• luisvalesilva / multisurv
  Multimodal deep learning model for long-term cancer survival prediction
  ☆83Updated 3 years ago
• simonsf / C-Lung-RADS
  A triage-driven Chinese Lung Nodules Reporting and Data System (C-Lung-RADS) for the estimatation of malignant risk of lung cancer.
  ☆17Updated 11 months ago
• MStarmans91 / WORC
  Workflow for Optimal Radiomics Classification
  ☆76Updated last week
• oncoray / mirp
  Medical Image Radiomics Processor
  ☆70Updated last week
• primakov / precision-medicine-toolbox
  Precision medicine toolbox
  ☆70Updated last year
• RSNA / AI-Deep-Learning-Lab-2023
  ☆45Updated last year
• baiwenjia / ukbb_cardiac
  Some code for processing and analysing UK Biobank cardiac MR images.
  ☆176Updated last month
• ashrafinia / SERA
  Standardized Environment for Radiomics Analysis
  ☆26Updated 6 years ago
• JZK00 / Radiomics-Features-Extractor
  Hand-crafted radiomics and deep learning-based radiomcis features extraction.
  ☆88Updated 3 years ago
• rmaphoh / AutoMorph
  vessel segmentation, artery and vein, optic disc, vascular feature analysis
  ☆110Updated last month
• MLNeurosurg / deepglioma
  AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
  ☆32Updated 2 years ago
• cyxie601 / ESCC_ML
  Deep-learning Radiomics for Classification Modelling
  ☆82Updated 3 years ago
• kaiko-ai / eva
  Evaluation framework for oncology foundation models (FMs)
  ☆112Updated this week
• AIM-Harvard / foundation-cancer-image-biomarker
  [Nature Machine Intelligence 2024] Code and evaluation repository for the paper
  ☆120Updated 5 months ago
• zhangjingcode / RadiomicsFeatureVisualization
  Visualization for radiomics feature generated by pyradiomics
  ☆54Updated 7 months ago
• bhklab / med-imagetools
  Transparent and reproducible medical image processing pipelines in Python.
  ☆50Updated last week
• 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
• Svdvoort / PrognosAIs_glioma
  Predicting genetics and providing segmentation of glioma
  ☆21Updated 11 months ago
• vanderschaarlab / autoprognosis
  A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
  ☆152Updated 4 months ago
• zhenweishi / QMITH
  MRI-based quantitative measure of intra-tumoral heterogeneity in breast cancer
  ☆31Updated last year
• ozanciga / self-supervised-histopathology
  Pretrained model for self supervised histopathology
  ☆120Updated 3 years ago
• BMEII-AI / RadImageNet
  RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning…
  ☆408Updated last year
• AIM-Harvard / SlicerRadiomics
  A Slicer extension to provide a GUI around pyradiomics
  ☆114Updated last year