Duration: CME/CE Points: Author(s):
60 Minutes
CME : 1

Deep Learning: A Primer for Radiologists is organized by Radiological Society of North America (RSNA) and will be held during Nov 13, 2017 - Nov 12, 2020. This CME Conference has been approved for a maximum of 1.00 AMA PRA Category 1 Credit(s).

Conference Description :
The goal of the RadioGraphics articles designated as self-assessment CME features and their accompanying tests is to increase understanding of the radiologic characteristics and possible therapeutic options for a variety of pathologic conditions and basic physics principles.

Content Areas :
The following Content Areas will be printed on the certificate for this course:
• Informatics.

Conference Objectives are :
• Discuss the key concepts underlying deep learning with CNNs.
• Describe emerging applications of deep learning techniques to radiology for lesion classification, detection, and segmentation.
• List key technical requirements in terms of dataset, hardware, and software required to perform deep learning.

Additional details will be posted as soon as they are available.

Target Audience

Health Informatics


Activity Fee : USD $35.00


Health Informatics

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