guangzhaohui Goto Github PK
Name: zhaohui guang
Type: User
Company: radiolgy
Name: zhaohui guang
Type: User
Company: radiolgy
Auto-ML python code for radiomics analysis
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
吴恩达老师的机器学习课程个人笔记
This project involves liquid biopsy and lung CT imaging for the cancer patients. Target lesions (tumors) are manually segmented by Sharyn and we extracted radiomics features using pyradiomics.
Diffusion MR Imaging in Python
Comparison and fusion of deep learning and radiomics features of ground-glass nodules to predict the invasiveness risk of stage-I lung adenocarcinomas in CT scan
Scripts to compute the features and fit radiomics models as used in the paper "Differential diagnosis and mutation stratification of desmoid tumors on MRI using a radiomics approach." M. J. M. Timbergen, M. P. A. Starmans et al. 2020.
This repository contains all python source code files to demonstrate how to conduct the machine learning described in the paper entitled "Machine Learning-Based Radiomics Analysis for Differentiation Degree and Lymphatic Node Metastasis of Extrahepatic Cholangiocarcinoma".
Factor Modeling for radiomics
Identifying pathways underpinning prognostic radiomics in GBM
Code accompanying the paper "Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques"
Large Language Models Streamline Automated Machine Learning for Clinical Studies
Library for fitting the LPPLS model to data.
Python script that takes stocks in a portfolio and outputs the two Markowitz portfolios on the efficient frontier: Max Sharpe Ratio (MSR) portfolio allocation and Global Minimum Volatility (GMV) portfolio allocation
Scripts to compute the radiomics features and fit the machine learning models as presented in the paper "The BRAF P.V600E Mutation Status of Melanoma Lung Metastases Cannot Be Discriminated on Computed Tomography by LIDC Criteria nor Radiomics Using Machine Learning." by L. Angus and M. P. A. Starmans et al. 2021.
Scripts to compute the features and fit radiomics models as used in the paper: Blazevic, A., Starmans, M. P. A., Brabander, T., Dwarkasingh, R., van Gils, R., Hofland, J., Franssen, G. J., Feelders, R. A., Niessen, W. J., Klein, S., & de Herder, W. W. (2021). Predicting symptomatic mesenteric mass in neuroendocrine tumors using radiomics, Endocrine-Related Cancer, ERC-21-0064.
All materials for the Networks practical of the 2019 Statistics for Omics course
Ontology-guided Radiomics Analysis Workflow (O-RAW)
Publicly Available Brain image anaLysis tOol kit
A lightweight Python library for running simple Monte Carlo Simulations on Pandas Series data
Portfolio and risk analytics in Python
Machine Learning Model: classifying malignant vs benign brain tumors
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.