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We have 10 medical image processing PhD Research Projects PhD Projects, Programmes & Scholarships

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medical image processing PhD Research Projects PhD Projects, Programmes & Scholarships

We have 10 medical image processing PhD Research Projects PhD Projects, Programmes & Scholarships

Doctor of Engineering (EngD) - Image capture and multimodal AI for interactive radiology assistance (Canon Medical and University of Edinburgh)

  Research Group: CDT in Applied Photonics
The EngD is an alternative to a traditional PhD aimed at students wanting a career in industry. Students spend about 75% of their time working directly with a company in addition to receiving advanced-level training from a broad portfolio of technical and business courses. Read more
Last chance to apply

Early detection of neurodegenerative disorders using artificial intelligence

A fantastic opportunity for a PhD student to complete an exciting project which aims to utilize vision deep learning for early detection of neurodegenerative disorders. Read more

Self-Supervised Learning for Complex Visual Understanding

94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021. The aim of this PhD project is to advance the state-of-the-art in computer vision through the development and application of self-supervised learning (SSL) techniques. Read more

Advanced Deep Learning Methods for Automatic Segmentation of Brain Tumours and other Intracranial Structures

Interested in a rewarding career in bioengineering? Get sponsored to do life-changing research in New Zealand!. Preoperative manual segmentation of Brain tumours is an extremely time-consuming task and adds an enormous amount of Neurosurgical workload. Read more

Advanced Methods in Hyperspectral Imagery Analysis for Smart Sensing Applications

Hyperspectral imagery, an extension of traditional imaging, has proven to be a significant tool in various scientific fields due to its ability to detect and identify objects based on their unique spectral signatures. Read more
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