Code for deep learning-based glioma/tumor growth models
-
Updated
Nov 30, 2021 - Python
8000
Code for deep learning-based glioma/tumor growth models
🧠 Growth dynamics of untreated meningiomas
3D-1D tumor growth model for simulation of angiogenesis
A short overview of my bachelor thesis
Simple mixed-effects growth models applied to tumor growth (modeling the effect of treatment and measurement method)
Implementation of a mammary tumor growth ODE model.
Tumor growth simulation using 2D cellular automaton
Source codes to simulate tumor growth in interaction with immune cell in a size and space structured tumor-immune interaction model and to perform sensitivity analysis of the stationary profile.
Matplotlib mice tumor analysis of drug effectiveness for cancer research.
Project on ABM tumor growth for the Agent-Based Modeling course at the UvA 2023-2024
A naive extension and analysis of a DE system describing the interactions between tumor cells, effector cells, HTCs, and iNKT cells
Computacional Models practices. University of Cádiz.
Predict the effect of genetic mutations in cancer tumors and classify them based on text clinical literature.
A python code/package for a cellular automata modeling tumor growth. The user can set the parameters, create unique initial states, view statistics, save data and also use a streamlit dashboard as a graphical interface. Growth plots, histograms and animation is available for visualization in an easy to use way.
Add a description, image, and links to the tumor-growth topic page so that developers can more easily learn about it.
To associate your repository with the tumor-growth topic, visit your repo's landing page and select "manage topics."