Self-normalization for a 1 mm3resolution clinical PET system using deep learning.

Saved in:
Bibliographic Details
Title: Self-normalization for a 1 mm3resolution clinical PET system using deep learning.
Authors: Chin M; Department of Electrical Engineering, Stanford University, Stanford, CA, United States of America.; Department of Radiology, Stanford University, Stanford, CA, United States of America., Jafaritadi M; Department of Radiology, Stanford University, Stanford, CA, United States of America., Franco AB; Department of Mechanical Engineering, Stanford University, Stanford, CA, United States of America., Nasir Ullah M; Department of Radiology, Stanford University, Stanford, CA, United States of America., Chinn G; Department of Radiology, Stanford University, Stanford, CA, United States of America., Innes D; Department of Radiology, Stanford University, Stanford, CA, United States of America., Levin CS; Department of Electrical Engineering, Stanford University, Stanford, CA, United States of America.; Department of Radiology, Stanford University, Stanford, CA, United States of America.; Department of Physics, Stanford University, Stanford, CA, United States of America.; Department of Bioengineering, Stanford University, Stanford, CA, United States of America.
Source: Physics in medicine and biology [Phys Med Biol] 2024 Aug 14; Vol. 69 (17). Date of Electronic Publication: 2024 Aug 14.
Publication Type: Journal Article
Journal Info: Publisher: IOP Publishing Country of Publication: England NLM ID: 0401220 Publication Model: Electronic Cited Medium: Internet ISSN: 1361-6560 (Electronic) Linking ISSN: 00319155 NLM ISO Abbreviation: Phys Med Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1361-6560
DOI:10.1088/1361-6560/ad69fb