Medical image segmentation

Python · Deep Learning · nnU-Net · CellViT · Academic project

Histopathology tissue and cell segmentation/classification experiments using nnU-Net, CellViT++ and HoVer-Net.

Overview

An academic histopathology image segmentation and cell classification project. The repository includes data preparation and training scripts for nnU-Net, CellViT++, and HoVer-Net, including SLURM-based workflows. The work focuses on integrating and experimenting with established deep-learning architectures rather than claiming a new model designed from scratch. Source and workflow.

Engineering approach

The workflow prepares histopathology images and experiments with existing segmentation and classification architectures through training scripts. It is integration and evaluation work, not a claim to have invented nnU-Net or CellViT.

Scope and limitations

Academic or research work, potentially collaborative. It illustrates an engineering method or experiment rather than claiming a commercially deployed product.

Explore the project

Source repository, documentation or official result ↗

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