TY - JOUR
T1 - Application of artificial intelligence in radiology
AU - Teramoto, Atsushi
N1 - Publisher Copyright:
© 2019 Japanese Journal of Cancer and Chemotherapy Publishers Inc. All rights reserved.
PY - 2019/3
Y1 - 2019/3
N2 - Artificial intelligence has attracted attention in the various field as an advanced information technology. Regarding to the radiology, many artificial intelligence technologies have been introduced to the computer aided diagnosis technologies such as lesion detection and analysis. Particularly, deep learning shows significant performance compared to the conventional technologies. In this paper, basic terms related to artificial intelligence technology are first defined, and briefly introduce the research activities of domestic and overseas research. And then, decision support system for lung cancer diagnosis developed by us are introduced.
AB - Artificial intelligence has attracted attention in the various field as an advanced information technology. Regarding to the radiology, many artificial intelligence technologies have been introduced to the computer aided diagnosis technologies such as lesion detection and analysis. Particularly, deep learning shows significant performance compared to the conventional technologies. In this paper, basic terms related to artificial intelligence technology are first defined, and briefly introduce the research activities of domestic and overseas research. And then, decision support system for lung cancer diagnosis developed by us are introduced.
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M3 - Article
C2 - 30914575
AN - SCOPUS:85063951614
SN - 0385-0684
VL - 46
SP - 418
EP - 422
JO - Japanese Journal of Cancer and Chemotherapy
JF - Japanese Journal of Cancer and Chemotherapy
IS - 3
ER -