This full-day workshop covers medical image segmentation using DIGITS, medical image analysis with R and MXNet, and how to predict radiomics using Keras and Tensorflow.
NVIDIA- Deep Learning for Healthcare Image Analysis (DLHIA)

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Learn and interact with your instructor and peers in-person in our classrooms. - VCVirtual Classroom
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Attend any of our instructor-led classes virtually regardless of your physical location. - PCPrivate Class
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Course Summary
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Outline
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Medical Image Segmentation using DIGITS
Learn how to use popular image classification neural networks for semantic segmentation using Sunnybrook Cardiac Data to train a neural network to locate the left ventricle on MRI images. -
Medical Image Analysis with R and MXNet
Explore how to detect features indicative of medical conditions by using MxNet to train a CNN to infer the volume of the left ventricle of the human heart. -
Image Classification with TensorFlow: Radiomics - 1p19q Chromosome Status Classification with Deep Learning