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Obed Kojo Otoo

Medical Diagnostics

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Research Summary

(inferred from publications by AI)

The researcher's work focuses on advancing computational methods in medical imaging, particularly integrating radiomics with machine learning techniques across various domains such as colorectal cancer management, liver disease diagnosis, and systemic sclerosis. Their research emphasizes the use of deep learning for analyzing medical images to develop non-invasive biomarkers, improve diagnostic accuracy, and enhance the understanding of complex medical conditions.

Research Themes

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.