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Integrating Pathologist input in development and validation of a Deep Learning Tissue Classifier App

OracleBio Case Study

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Study Background

Integrating Pathologist input in development and validation of a Deep Learning Tissue Classifier App

This case study focuses on the development & validation of a ‘Deep Learning Tumor / Stroma Classifier App’ to be applied to the tumor microenvironment (TME) present per sample. 

Ensuring image analysis apps are validated for accuracy is key to their performance and the generation of robust downstream analysis data.

Staining

The quantification of CD8 (red) / Ki67 (brown) dual IHC staining within accurately defined tumor and stroma ROI across n=321 pancreatic cancer samples.

Analysis

Image analysis was performed using Visiopharm software.

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Multiplex Digital Phenotyping of the Tumour Microenvironment AACR 2021

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  • Data you can trust – We have thorough quality control procedures in place throughout our workflow to ensure the data we provide is of a high-quality standard
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