Medical Image Classification Using the MedNIST Dataset This training applies convolutional neural networks (CNNs) to a medical imaging dataset. Students will learn how to collect, format, and standardize medical image data. They will architect and train a CNN on their dataset, and use it to classify novel medical images. This lab provides a practical introduction....
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Speaker: | Nicola Rieke |
Type: |
DLI Instructor-Led Training |
Date: | Thursday - October 18, 2018 01:00 PM - 03:00 PM |
Location: | Hall C1 |
Topics: | Deep Learning and AI, AI in Healthcare |
Industry: | Healthcare & Life Sciences |
This training applies convolutional neural networks (CNNs) to a medical imaging dataset. Students will learn how to collect, format, and standardize medical image data. They will architect and train a CNN on their dataset, and use it to classify novel medical images. This lab provides a practical introduction to the use of deep learning for radiology and medical imaging to interested developers, scientists, and medical practitioners. Prerequisites: None
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