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Primary supervisor Zhaolin Chen Research area Data Science and Artificial Intelligence Machine learning has recently made significant progress for medical imaging applications including image
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representational form of the moving image for the past 150 years, VR introduces a new paradigm for cinematic expression and viewing experience. This challenge marks a transformational moment in the
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representational form of the moving image for the past 150 years, VR introduces a new paradigm for cinematic expression and viewing experience. This challenge marks a transformational moment in the
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image, dermascopic image, MRI, CT-scans and EHR, form the basic screening and diagnosis procedure for many diseases of interest. The goal of this project is to develop computational models using text and
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. Required knowledge Python programming Machine learning background Text analysis Image analysis Learn more about minimum entry requirements .
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. Required knowledge Python programming Machine learning background Text analysis Image analysis Learn more about minimum entry requirements .
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for detecting and mitigating the presence of deepfakes in digital content. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis Learn more about minimum entry requirements .
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for detecting and mitigating the presence of deepfakes in digital content. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis Learn more about minimum entry requirements .
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tumour. We will use various Deep Learning techniques, such as CNN, and will experiment with a variety of Deep Learning frameworks, such as U-Net, ResNet, etc. One of the main challenges in medical image
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edge data processing methods for mobile MRI scanners and testing in clinical enviroment. Required knowledge Excellent programming, image processing, optimisation background Affinity to work across