Prostate cancer classification workflow
Version 1

Workflow Type: Common Workflow Language

Stable

Prostate cancer classification workflow

This workflow segments tissue regions and classifies prostate cancer on H&E whole slide images, using AI. It consists of three steps:

low-resolution tissue segmentation to select areas for further processing;
high-resolution tissue segmentation to refine borders - it uses step 1 as input;
high-resolution normal/cancer classification - it uses step 1 as input.

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SEEK ID: https://workflowhub.eu/workflows/1329?version=1

ID	Name	Description	Type
gpu	n/a	n/a	int
slide	n/a	n/a	File
tissue-high-batch-size	n/a	n/a	int
tissue-high-chunk-size	n/a	n/a	int
tissue-high-filter	n/a	n/a	string
tissue-high-label	n/a	n/a	string
tissue-high-level	n/a	n/a	int
tissue-low-batch-size	n/a	n/a	int
tissue-low-chunk-size	n/a	n/a	int
tissue-low-label	n/a	n/a	string
tissue-low-level	n/a	n/a	int
tumor-batch-size	n/a	n/a	int
tumor-chunk-size	n/a	n/a	int
tumor-filter	n/a	n/a	string
tumor-label	n/a	n/a	string
tumor-level	n/a	n/a	int

ID	Name	Description	Type
tissue	n/a	n/a	File
tumor	n/a	n/a	File

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Created: 2nd Apr 2025 at 15:53