Image Analysis in Medicine and Biology
This theme develops methods for computational analysis and understanding of images in a range of modalities. Our research projects on this theme are always interdisciplinary and collaborators include colleagues at Ninewells Hospital and Medical School (Orthopaedics & Trauma Surgery, Surgery and Molecular Oncology), the Scottish Crop Research Institute, the University of Cambridge's Department of Plant Sciences and Optos Ltd. Projects have received funding from the Biotechnology and Biological Sciences Research Council (BBSRC), the Medical Research Council (MRC), the Engineering and Physical Sciences Research Council (EPSRC), and the Breast Cancer Research Trust. McKenna works with radiographers to develop methods for analysis of hip and knee radiographs; with oncologists and pathologists on analysis of tissue microarray images; with surgeons on tracking surgical instruments during laparoscopy; and with biologists on analysis of plant morphogenesis. Trucco's research programme on computer-assisted ophthalmology aims to locate signs of high-incidence diseases in images of the human retina such as diabetes, funded by DTI, EPSRC and industry, including collaboration with Optos Ltd., contributing to their winning the RAE McRoberts prize in 2006. Dundee will host the Medical Image Understanding and Analysis (MIUA)onference in 2008.
http://www.computing.dundee.ac.uk/projects/vision/index.htm
People working within this theme: Stephen McKenna, Ian W. Ricketts, Emanuele Trucco, Chengjin Du, Telmo Amaral, Adria Perez Rovira
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