Automated Bioimage Analysis of Fish Morphometry: Enhancing Biomedical and Aquaculture Research Through Deep Learning

M. Navdeep Kumar will publicly defend his thesis entitled "Automated Bioimage Analysis of Fish Morphometry: Enhancing Biomedical and Aquaculture Research Through Deep Learning".

Summary

Biomedical research on skeletal disorders increasingly relies on small fish models like zebrafish and medaka to investigate conditions such as osteoporosis and fibrous dysplasia. These models provide insights into human skeletal pathologies and broader disorders like cancer and arthritis. Meanwhile, in aquaculture, farmed fish frequently develop skeletal deformities in the jaw, operculum, and vertebral column, compromising fish welfare, performance, and product quality. These anomalies result in significant economic losses due to manual culling. Understanding the underlying mechanisms of skeletal development in fish is crucial for improving both human health and aquaculture sustainability. This thesis explores the application of deep learning methodologies in bioimage analysis, focusing on morphometric and phenotypic studies in biomedical and aquaculture research within the framework of EU funded BioMedAqu project

Practical information

Defence will take place on TuesdayJune 3rd at 14:30, to all at amphitheatre Mania Pavella of Institute Montefiore (Bât. B28, au Sart Tilman) or via le FSA PhD Channel.