nsclc-segmentation-pipeline

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An AI-driven pipeline for detecting and quantifying cancer and inflammatory tissue on biopsy slides to support standardized diagnostics. This independent fork focuses on advanced ensembling (SMP <-> nnU-Net), probability fusion, and Test-Time Augmentation (TTA), providing a highly reproducible training and inference workflow.

medical-imaging histopatology semantic seg... computer vision PyTorch nnunet model ensemb... test-time-au...

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Created on

March 03, 2026

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