Deep Learning: A Primer for Radiologists

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.