Residual 3D convolutional neural network to enhance sinograms from small-animal positron emission tomography images

Residual 3D convolutional neural network to enhance sinograms from small-animal positron emission tomography images

Positron emission tomography (PET) has been widely used in nuclear medicine to diagnose cancer. PET images suffer from degradation because of the scanner’s physical limitations, the radiotracer’s reduced dose, and the acquisition time. In this work, we propose a residual three-dimensional (3D) and c...

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書誌詳細
その他の著者:	Rodríguez, Leandro José, Ochoa Domínguez, Humberto, Vergara Villegas, Osslan Osiris, Cruz Sanchez, Vianey Guadalupe, Polanco Gonzalez, Javier, Sossa, Juan Humberto
フォーマット:	Artículo
言語:	en_US
出版事項:	2023
主題:	Positron emission tomography Convolutional neural network Image enhancement info:eu-repo/classification/cti/7
オンライン･アクセス:	https://doi.org/10.1016/j.patrec.2023.05.005 https://www.sciencedirect.com/science/article/abs/pii/S0167865523001320
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