Tracking Glaucoma Progression using Deep Learning Methods

Project: Other


My proposed research will develop imaging biomarkers for tracking the progression of glaucoma using deep
learning methods. This work will (1) address an urgent need of early detection of glaucoma to reduce chance of irreversible neuron loss, (2)
characterize the structural changes in optic disc and reginal nerve fibre layer to build a reference standard for glaucoma diagnosis and grading,
and (3) enhance our understanding of the mechanisms of neurodegeneration. My vision is to spearhead new understanding of underlying disease
processes in this condition and translate the research outcomes into clinical applications to improve early detection, diagnosis and monitoring of
glaucoma. In order to understand the pathophysiological process of glaucoma, I will gain advanced training in ophthalmology and vision science
at Macquarie University by Profs Stuart Graham and Alexander Klistorner who are the internationally acclaimed experts in this field. Relocation
to Macquarie University and supervision by Prof Graham and Klistorner will provide an ideal environment to advance my skills, solidify my
highly feasible proposal, and provide a strong foundation developing my independent research career.
Effective start/end date1/01/1931/12/22