Brritany / MLstatkitLinks
MLstatkit is a comprehensive Python library designed to seamlessly integrate established statistical methods into machine learning projects.
☆21Updated 3 weeks ago
Alternatives and similar repositories for MLstatkit
Users that are interested in MLstatkit are comparing it to the libraries listed below
Sorting:
- A deep learning framework for automated analysis of body composition from abdominal CT☆19Updated last year
- ☆143Updated last year
- Multimodal deep learning model for long-term cancer survival prediction☆84Updated 3 years ago
- Some code for processing and analysing UK Biobank cardiac MR images.☆180Updated 3 months ago
- ☆47Updated last year
- Fully automatic coronary calcium risk assessment using Deep Learning.☆43Updated 4 years ago
- AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging☆33Updated 3 years ago
- Medical Image Radiomics Processor☆71Updated last month
- Workflow for Optimal Radiomics Classification☆79Updated last month
- The easiest tool for experimenting with radiomics features.☆41Updated last year
- Notebooks for working with The Cancer Imaging Archive datasets. Have you written one? Submit a PR!☆125Updated this week
- First commit☆63Updated 3 years ago
- Precision medicine toolbox☆70Updated last year
- Official repository of the 2020 UHN RADCURE challenge.☆13Updated 2 years ago
- [Nature Machine Intelligence 2024] Code and evaluation repository for the paper☆121Updated 7 months ago
- Tools to build deep learning pipelines.☆109Updated 10 months ago
- The fast version of DeLong's method for computing the covariance of unadjusted AUC.☆161Updated this week
- ☆56Updated 3 years ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆55Updated 2 years ago
- ☆35Updated last year
- Code for "Optimizing risk-based breast cancer screening policies with reinforcement learning"☆22Updated 3 years ago
- Deep Learning MRI image analysis☆43Updated 3 years ago
- Transparent and reproducible medical image processing pipelines in Python.☆50Updated 2 months ago
- Pretrained model for self supervised histopathology☆120Updated 3 years ago
- Codes used for the paper "Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer"☆31Updated last month
- A code for extracting annotated regions from whole slide images (WSIs) anotated in Aperio Imagescope☆12Updated 5 years ago
- Standardized Environment for Radiomics Analysis☆26Updated 6 years ago
- ☆13Updated 2 years ago
- Evaluation framework for oncology foundation models (FMs)☆130Updated this week
- Visualization for radiomics feature generated by pyradiomics☆54Updated 9 months ago