Analysis of Deep Learning-Based Phase Retrieval Algorithm Performance for Quantitative Phase Imaging Microscopy.

Saved in:
Bibliographic Details
Title: Analysis of Deep Learning-Based Phase Retrieval Algorithm Performance for Quantitative Phase Imaging Microscopy.
Authors: Visitsattapongse S; Department of Biomedical Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand., Thadson K; Department of Biomedical Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand., Pechprasarn S; College of Biomedical Engineering, Rangsit University, Pathum Thani 12000, Thailand., Thongpance N; College of Biomedical Engineering, Rangsit University, Pathum Thani 12000, Thailand.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 May 06; Vol. 22 (9). Date of Electronic Publication: 2022 May 06.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1424-8220
DOI:10.3390/s22093530