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3D embryo images (published and those generated in the Strawbridge Lab). to quantify cell numbers and lineages. A semi-automated pipeline using deep-learning-based segmentation (Cellpose-SAM), machine
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environment within the Division of Clinical Medicine and the Bateson Centre for Disease Mechanisms. We are seeking a highly motivated and experienced researcher to contribute to a newly awarded Versus Arthritis
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environment within the Division of Clinical Medicine and the Bateson Centre for Disease Mechanisms. We are seeking a highly motivated and experienced researcher to contribute to a newly awarded Versus Arthritis
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recognition from aerial imagery in tropical forests. The research will investigate the long-tailed open-ended semantic segmentation problem and advance new approaches for uncertainty estimation and confidence
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. Characterise the effect of Ect2 depletion on PDAC cell proliferation, division and migration 2. Understand how mechanosensitive signalling regulates Ect2 localisation and activity 3. Image the localisation
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), radiological and clinical images. The aim of this project is to investigate the use of artificial intelligence and machine learning in automated detection and segmentation of cancer and its microenvironment
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at higher risk offered PSA blood tests which are not definitive. Our research aims to develop an image-based approach to screening, combining PSA testing with MRI to better identify aggressive cancers
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, decentralised methods and other factors. Image detection and segmentation, dynamic colour models for fire appearance in image and fusion of image features are in the project scope. Different types of images
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(Fission 1 protein) is a mitochondrial outer membrane protein best known for its role in mitochondrial division and mitophagy regulation. Recent studies reveal that FIS1, together with Mid51, also