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We have 93 image process PhD Projects, Programmes & Scholarships for Self-funded Students

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image process PhD Projects, Programmes & Scholarships for Self-funded Students

We have 93 image process PhD Projects, Programmes & Scholarships for Self-funded Students

Cross-cultural investigations of body image

  Research Group: Centre for Societies and Groups
Research Group. Centre for Societies and Groups. Proposed supervisory team. Prof Viren Swami. Theme. Body image, Cross-cultural, Test adaptation, Psychometrics. Read more

Optimisation of additive manufacturing process using data-driven machine-learning approach (Fully Funded PhD)

Lead supervisor: Dr Chu Lun Alex Leung. Eligibility: Open to UK students and international students. Fully Funded. 3 years of Home tuition fees (currently £5,860/year) and a tax-free maintenance stipend of £24,000 per year. Read more

Biomedical Engineering: Fully Funded Swansea and Boston Scientific Ltd PhD Scholarship: Bioprosthetic Design Evaluation Through Experimental-Computational Techniques

Funding providers: Swansea University's Faculty of Science and Engineering and Boston Scientific Ltd. Subject areas: Experimental Mechanics, Heart Valves, Digital Image Correlation (DIC), Particle Image Velocimetry (PIV), Biomechanics, Fluid-Structure Interaction. Read more

Learning-based Resilient Image Compression for Object Detection

The project. The PhD project is a collaborative project between MBDA UK and the University of Bristol’s Visual Information Laboratory, on ‘Learning-based Resilient Image Compression for Object Detection’. Read more

Medical Image Analysis using Deep Learning

Medical Image Analysis aims to extract information from available visual modalities such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Ultasonography (US) to detect conspicuous structures, quantigy their properties, evaluate the effectiveness of treatment or diagnose a condition. Read more

Advancing Deep Learning (DL) Techniques for Medical Image Analysis

Introduction.  . Lately, convolutional neural networks (CNNs) have demonstrated competitive performance in medical image analysis tasks, such as disease classification, tumor segmentation, and lesion detection [1]. Read more

High Throughput Collection of Reaction Data with Digital Image Analysis

  Research Group: School of Chemistry
As Chemistry adopt Artificial Intelligence and Machine Learning technologies more widely, the need for high quality chemical data has become a key obstacle which limits the progress of the field. Read more

Eliminating Harmful Cells to Maintain Homeostatis and Prevent Tumorigenesis

Hamaratoglu Lab studies cell-cell signalling in development, homeostasis and tumourigenesis. We take advantage of outstanding genetic tools in Drosophila, and use larval imaginal discs as model epithelial organs. Read more

Perceptual quality assessment on reconstructed CT images

Although Computed Tomography (CT) scan has been widely used for accurate disease diagnosis and treatment, there is a risk that patients may be exposed to a high amount of ionising radiation due to the frequent use of CT scan. Read more

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