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Exemple: Deep Learning for Image Segmentation ; Go beyond detecting individual objects within an image and instead segment the image into spatial regions of interest. Just like in medical imagery analysis it is often important to separate the pixels corresponding to different types of tissue, blood or abnormal cells so that we can isolate a particular organ. In this lab we will use the TensorFlow deep learning framework to train and evaluate an image segmentation network using a medical imagery dataset. Check Our Detailed Program here
Keynotes:
Dr .Diana Maynard ; Research fellow at the University of Sheffield, UK.
Mr. Frank William Domoney ; Director at Glencroft Ltd – Virtualisation, Big Data & Cyber Security in the Smart City, London,UK.
Dr.Paul Richmond ; Research software engineer and expert in complex systems simulations at the University of Sheffield, UK.
Pr.Alison Lowndes ; Entrepreneur at nvidia and Researcher in deep learning and neural networks at the University of Leeds, UK.