Back to search

Article

Improvement of Image Quality in Low-Count Bone Scintigraphy Using Deep Learning

2023-04-14

Abstract excerpt

<title>Abstract</title> <p><bold>Objective</bold> To improve image quality for low-count bone scintigraphy whole-body images using deep learning and evaluate their applicability in clinical practice.<bold>Methods</bold> Five hundred fifty patients were included in the study. Low-count Original images (75%, 50%, 25%, 10%, and 5% counts) were generated from Reference images (100% counts) using Poisson resampling. P...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
208c97bb-4a1c-5cd4-81c1-2039ec91db1b
DOI
10.21203/rs.3.rs-2794042/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Improvement of Image Quality in Low-Count Bone Scintigraphy Using Deep LearningDOI 10.21203/rs.3.rs-2794042/v1
Select a neighboring publication to make it the new centre.