Abstract

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....

 


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