Deep Learning in Medical Imaging - Ben Glocker, Imperial College London
Machines capable of analysing and interpreting medical scans with super-human performance are within reach. Deep learning, in particular, has emerged as a promising tool in our work on automatically detecting brain damage. But getting from the lab into clinical practice comes with great challenges. How do we know when the machine gets it wrong? Can we predict failure, and can we make the machine robust to changes in the clinical data? We will discuss some of our most recent work that aims to address these critical issues and demonstrate our latest results on deep learning for analysing medical scans.
Ben Glocker is a Lecturer in Medical Image Computing at the Department of Computing, Imperial College London. He holds a PhD from TU Munich, and was a post-doc at Microsoft Research Cambridge and a research fellow at the University of Cambridge. He received several awards for his work on medical image analysis including the Francois Erbsman Prize, the Werner von Siemens Excellence Award, and an honorary mention for the Cor Baayen Award. Ben is the deputy head of the BioMedIA group and his research focuses on applying machine learning techniques for advanced biomedical image computing and medical computer vision.
Видео Deep Learning in Medical Imaging - Ben Glocker, Imperial College London канала RE•WORK
Ben Glocker is a Lecturer in Medical Image Computing at the Department of Computing, Imperial College London. He holds a PhD from TU Munich, and was a post-doc at Microsoft Research Cambridge and a research fellow at the University of Cambridge. He received several awards for his work on medical image analysis including the Francois Erbsman Prize, the Werner von Siemens Excellence Award, and an honorary mention for the Cor Baayen Award. Ben is the deputy head of the BioMedIA group and his research focuses on applying machine learning techniques for advanced biomedical image computing and medical computer vision.
Видео Deep Learning in Medical Imaging - Ben Glocker, Imperial College London канала RE•WORK
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Daniel Rueckert: "Deep learning in medical imaging"Machine Learning For Medical Image Analysis - How It WorksAI in Radiology at Stanford: Rise of the MachinesBut what is a Neural Network? | Deep learning, chapter 1Case Study: TensorFlow in Medicine - Retinal Imaging (TensorFlow Dev Summit 2017)TensorFlow at DeepMind (TensorFlow Dev Summit 2017)A friendly introduction to Convolutional Neural Networks and Image RecognitionBig Data and Machine Learning in Healthcare: How, Why, and WhenThe Future of Machine Learning in Clinical ImagingAI in Medicine | Medical Imaging Classification (TensorFlow Tutorial)AI vs Machine Learning vs Deep Learning | Machine Learning Training with Python | EdurekaMedical Image AnalysisLecture 11 | Detection and SegmentationBringing AI and machine learning innovations to healthcare (Google I/O '18)Skin Cancer Image Classification (TensorFlow Dev Summit 2017)Introduction to Deep Learning: What Is Deep Learning?K-means & Image Segmentation - ComputerphileExperiences in Python for Medical Image Analysis; SciPy 2013 PresentationIntroduction to Deep Learning: Machine Learning vs Deep LearningIan Goodfellow: Adversarial Machine Learning (ICLR 2019 invited talk)