Content-based image retrieval for the diagnosis of myocardial perfusion imaging using a deep convolutional autoencoder

Single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) plays a crucial role in the optimal treatment strategy for patients with coronary heart disease. We tested the feasibility of feature extraction from MPI using a deep convolutional autoencoder (CAE) model. Eight hu...

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Vydáno v:	Journal of Nuclear Cardiology Ročník 30; číslo 2; s. 540 - 549
Hlavní autoři:	Higaki, Akinori, Kawaguchi, Naoto, Kurokawa, Tsukasa, Okabe, Hikaru, Kazatani, Takuro, Kido, Shinsuke, Aono, Tetsuya, Matsuda, Kensho, Tanaka, Yuta, Hosokawa, Saki, Kosaki, Tetsuya, Kawamura, Go, Shigematsu, Tatsuya, Kawada, Yoshitaka, Hiasa, Go, Yamada, Tadakatsu, Okayama, Hideki
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Elsevier Inc 01.04.2023 Elsevier BV Springer International Publishing Springer Nature B.V
Témata:	CAD Cardiology Cardiovascular disease Coronary Artery Disease Coronary Artery Disease - diagnosis Data visualization Heart Humans image interpretation Image retrieval Imaging Medical diagnosis Medicine Medicine & Public Health MPI Myocardial Perfusion Imaging Myocardial Perfusion Imaging - methods Neural Networks, Computer Nuclear Medicine Original Article Radiology SPECT Tomography, Emission-Computed, Single-Photon Tomography, Emission-Computed, Single-Photon - methods SSS SDS SRS CAE MPI CAD CBIR SPECT CHD image interpretation ML PCA
ISSN:	1071-3581, 1532-6551, 1532-6551
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