Work

Unsupervised and Self-supervised Learning in Low-Dose Computed Tomography Denoising: Insights from Training Strategies

Year: 2024

Type: article

Source: Journal of Imaging Informatics in Medicine

DOI: 10.1007/s10278-024-01213-8

Authors: Feixiang Zhao, Mingzhe Liu, Mingrong Xiang, Dongfen Li, Xin Jiang, Xiance Jin, Cai Lin, Ruili Wang

Institutions: Chengdu University of Technology, Wenzhou University of Technology, Deakin University, First Affiliated Hospital of Wenzhou Medical University, Massey University

Language: English

Topic: Image and Signal Denoising Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Natural Science Foundation of China, Medical Science and Technology Project of Zhejiang Province

Awards: G2526117110, G3364139956

OpenAlex ID: W4402225316

FWCI: 0.98

Cites: 100

Cited by: 7

Related to: 10