M<sub>3</sub>NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT Denoising-Reference-Cited by-同舟云学术

M₃NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT Denoising

Published:2023-03 Issue:3 Volume:42 Page:850-863
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Lu Zexin¹^ORCID,Xia Wenjun¹^ORCID,Huang Yongqiang¹,Hou Mingzheng¹,Chen Hu¹^ORCID,Zhou Jiliu¹,Shan Hongming²^ORCID,Zhang Yi³^ORCID

Affiliation:

1. College of Computer Science, Sichuan University, Chengdu, China

2. Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Ministry of Education), MOE Frontiers Center for Brain Science, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China

3. School of Cyber Science and Engineering, Sichuan University, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Sichuan University ‘From 0 to 1’ Innovative Research Program

Shanghai Sailing Program

Shanghai Municipal Science and Technology Major Project

ZJ Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/10057585/09936653.pdf?arnumber=9936653

Reference65 articles.

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