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This project introduces volunteers to digital pathology, histology, and how artificial intelligence can be used in biomedical research.
Digital pathology uses scanned biopsy images that can be viewed and analyzed on a computer. These images allow researchers to study tissue structure in detail and develop AI tools to support diagnosis and research.
Adipose tissue, or fat tissue, is made up of adipocytes. It is not only a store of energy, but also an active tissue involved in inflammation, hormone signaling, and tissue remodeling.
A biomarker is a measurable feature that provides useful information about a biological process or disease. In this project, we are interested in whether the structure and organization of adipose tissue may help reveal new biomarkers related to diseases such as cancer.
AI can analyze large numbers of images quickly, but it still makes mistakes. In adipose tissue, thin walls may appear broken or incomplete, which can confuse automated models. Human review helps correct these errors and improve the quality of research data.
By helping review and correct tissue masks, volunteers contribute to better image annotations, better AI tools, and better research on tissue-based biomarkers.