Deep neural networks for omni-modality MSK image analysis at University of Sydney on FindAPhD.com

Dr A Kumar , Prof D Feng , Assoc Prof J Kim , Prof M Fulham Applications accepted all year round Funded PhD Project (Students Worldwide)

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Sydney Australia Biomedical Engineering

ARC Training Centre for Innovative BioEngineering, University of Sydney

About the Project

Proposed Training:
The project will provide advanced technical training in the optimisation of deep neural networks for computerised medical image analysis to transform current clinical approaches lo image-based biomarker discovery. The HDR and PD will be embedded al RPA to understand the clinicians' diagnostic workflows. They will witness the processes of ongoing clinical trials, learning to translate computer science algorithms lo usable clinical software.

Proposed Outcomes:
We will produce new computerised image segmentation techniques that will improve diagnostic processes (addressing RT1) by allowing automated localisation and biomarker analysis of the anatomical defect sites.

Application procedure:
Please discuss project with applicable academic for further information.
Please state the project in the subject line of your email.
Please contact Dr Peter Newman p.newman@sydney.edu.au for next steps.
Please state the project in the subject line of your email.

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Deep neural networks for omni-modality MSK image analysis

University of Sydney ARC Training Centre for Innovative BioEngineering

About the Project