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PUMA 2024 - Candidate Solution - Cell Detection and Classification with a U-Net Model - Inference Pipeline

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Candidate Model - Nuclei Detector/Classifier - PUMA2024 Submission

This repository will contain the python source code of the inference pipeline that was submitted to the test phase of the PUMA2024 challenge. An overview of this pipeline, its development and analysis in the context of the PUMA2024 challenge will be made available.

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[1] Mark Schuiveling, Hong Liu, Daniel Eek, Gerben E Breimer, Karijn P M Suijkerbuijk, Willeke A M Blokx, Mitko Veta, A novel dataset for nuclei and tissue segmentation in melanoma with baseline nuclei segmentation and tissue segmentation benchmarks, GigaScience, Volume 14, 2025, giaf011, https://doi.org/10.1093/gigascience/giaf011

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