ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper Medical artificial intelligence framework for the development of medical imaging artificial intelligence devices
Cited 2 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Bumhwi Kim, Eunryung Lee
Issue Date
2022-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.2210-2212
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC55196.2022.9952625
Abstract
This paper deals with the description of a framework that assists medical device imaging developers to develop medical imaging AI software more easily than using existing deep learning libraries to create medical imaging AI software. The framework proposed in this paper includes TensorFlow and PyTorch deep learning libraries, as well as image preprocessing libraries, and systematized them so that beginners to experts can handle them.
KSP Keywords
Medical Imaging, artificial intelligence, deep learning(DL), image preprocessing, medical devices