Ontology highlight
ABSTRACT:
SUBMITTER: Shan H
PROVIDER: S-EPMC7687920 | biostudies-literature | 2019 Jun
REPOSITORIES: biostudies-literature
Shan Hongming H Padole Atul A Homayounieh Fatemeh F Kruger Uwe U Khera Ruhani Doda RD Nitiwarangkul Chayanin C Kalra Mannudeep K MK Wang Ge G
Nature machine intelligence 20190610 6
Commercial iterative reconstruction techniques help to reduce CT radiation dose but altered image appearance and artifacts limit their adoptability and potential use. Deep learning has been investigated for low-dose CT (LDCT). Here we design a modularized neural network for LDCT and compared it with commercial iterative reconstruction methods from three leading CT vendors. While popular networks are trained for an end-to-end mapping, our network performs an end-to-process mapping so that interme ...[more]