Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects

Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects

The integration of positron emission tomography (PET) and single-photon emission computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms, including deep learning (DL) models, is a promising approach. This integration enhances the precision and efficiency of current diagn...

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Bibliographic Details
Main Authors: Carmen Jimenez-Mesa, Juan E. Arco, Francisco Jesus Martinez-Murcia, John Suckling, Javier Ramirez, Juan Manuel Gorriz
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Pharmacological Research
Subjects:
Deep Learning
Diagnosis
Machine Learning
PET
Sample size
SPECT
Online Access:http://www.sciencedirect.com/science/article/pii/S1043661823003407

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http://www.sciencedirect.com/science/article/pii/S1043661823003407

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