Code for deep learning-based glioma/tumor growth models
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Updated
Nov 30, 2021 - Python
Code for deep learning-based glioma/tumor growth models
A short overview of my bachelor thesis
🧠 Growth dynamics of untreated meningiomas
3D-1D tumor growth model for simulation of angiogenesis
Simple mixed-effects growth models applied to tumor growth (modeling the effect of treatment and measurement method)
Tumor growth simulation using 2D cellular automaton
Набор инструментов для обработки радиобиологических Excel‑данных: визуализация опухолевого роста и кожных реакций, статистика, интерактивный GUI (PyQt6). Поддерживается оценка параметров LQ‑модели (α/β) и сравнение экспериментов.
Implementation of a mammary tumor growth ODE model.
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
Predict the effect of genetic mutations in cancer tumors and classify them based on text clinical literature.
Computacional Models practices. University of Cádiz.
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.
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