FK2D Tumor Growth Phantom Dataset
Year: 2026
Type: article
Abstract: ⚠️ IMPORTANT NOTICE: This is a Free Trial Sample Please note that the files provided in this Zenodo repository represent a free trial sample (20 cases) intended solely for evaluating quality and compatibility. The full 1,000-case dataset can be accessed and purchased here: https://sentineldata.com.ua/dataset/fk2d-tumor-growth-phantom-dataset FK2D Tumor Growth Phantom Dataset (Sample) 1. Product Overview The FK2D Phantom Dataset is a synthetic collection of simulated 2D glioma growth cases generated by numerically solving the Fisher–Kolmogorov (FK) reaction-diffusion partial differential equation (PDE). Each case models a tumor growing in a parameterized 2D brain cross-section over time — from a single initiating focus through progressive invasion of the white matter parenchyma. This dataset provides exact ground truth for tumor cell density, segmentation masks, and growth trajectories without requiring specialized medical imaging software. It is 100% synthetic , meaning there is zero HIPAA/GDPR exposure and no real patient data is involved. 2. Sample Contents (Zenodo Download) This Zenodo repository contains a representative sample of the full dataset: 20 unique cases (8 Low-Grade Glioma [LGG] + 12 High-Grade Glioma [HGG]) 8 evenly-spaced timepoints per case (from $t = 0$ to simulation end) Identical formats to the full dataset: Grayscale PNG + float32 NumPy + CSV ... Full description with all tables is on the Wiki page of this project. Full dataset and purchase: https://sentineldata.com.ua/dataset/fk2d-tumor-growth-phantom-dataset . Zenodo copy: https://doi.org/10.5281/zenodo.22755248
Source: Open Science Framework
Author: Maksym Chekerskyi
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225458997