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Data · dataset · 2026

pyMarAI: nnU-Net-based Tumor Spheroids Auto Delineation

Listed in RODARE

Collection of neural network models for automatic image segmentation of microscopic tumor spheroids.

Description

Intended to be used with nnU-Net deep-learning framework. Trained and tested on a total of microscopic images of mouse pheochromocytoma (MPC) tumor cells.

In addition to the trained network model, a PyQt5-based graphical user interface tool is provided. This tool provides a complete pipeline for handling microscopic spheroid image data, running deep-learning–based delineation, and curating results for continuous model improvement. For installation and usage instructions, please visit github.com/hzdr-MedImaging/pyMarAI Please cite nnU-Net and the respective paper when using pyMarAI.

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List of available model types: pyMarAI-1.0.0-ecat.zip : nnUNetv2 ready network (for ECAT7) pyMarAI-1.0.0-nifti.zip : nnUNetv2 ready network (for NIFTI)

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Image 75%
Provenance · 1 source records, 11 field assertions
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RODARE419914 d agoJSON v1
FieldAssertionExtractorEvidence
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