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Help improve AI-generated tissue masks for biomarker discovery in cancer research.
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AI often struggles with broken adipocyte boundaries, but people can recognize these patterns visually. By working together, researchers and volunteers can create higher-quality data and open new paths for biomarker discovery.
marioparrenoAbout Adipose Tissue Mask Repair for Cancer Biomarker Discovery
H&E images can reveal tissue structures that help researchers study diseases such as cancer. AI can help analyse these images, but adipose tissue is challenging: thin tissue walls may look broken, faint, or incomplete because of tissue preparation. This can make tissue measurements less accurate.
In this project, you will compare the original image with a predicted mask and decide whether the mask is acceptable, whether a tissue wall is missing, or whether the case is too difficult to judge confidently. If the mask is wrong and the missing structure is clear, you will improve it by redrawing the missing or incorrect parts.
Your contributions will help create better annotations for digital pathology research, improve future AI models, and support the discovery of new biomarkers for diseases such as cancer.
No previous pathology experience is required. A short tutorial and examples will guide you step by step.
