Convolutional neural networks for detection of transthyretin amyloidosis in 2D scintigraphy images

Convolutional neural networks for detection of transthyretin amyloidosis in 2D scintigraphy images

Abstract Background Transthyretin amyloidosis (ATTR) is a progressive disease which can be diagnosed non-invasively using bone avid [99mTc]-labeled radiotracers. Thus, ATTR is also an occasional incidental finding on bone scintigraphy. In this study, we trained convolutional neural networks (CNN) to...

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Bibliographic Details
Main Authors: Hanna-Leena Halme, Toni Ihalainen, Olli Suomalainen, Antti Loimaala, Sorjo Mätzke, Valtteri Uusitalo, Outi Sipilä, Eero Hippeläinen
Format: Article
Language:English
Published: SpringerOpen 2022-05-01
Series:EJNMMI Research
Subjects:
Amyloidosis
Transthyretin
Scintigraphy
Deep learning
Convolutional neural network
Online Access:https://doi.org/10.1186/s13550-022-00897-9

Internet

https://doi.org/10.1186/s13550-022-00897-9

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