Prognosis prediction of patients with malignant pleural mesothelioma using conditional variational autoencoder on 3D PET images and clinical data

Background Deep learning (DL) has been widely used for diagnosis and prognosis prediction of numerous frequently occurring diseases. Generally, DL models require large datasets to perform accurate and reliable prognosis prediction and avoid overlearning. However, prognosis prediction of rare disease...

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Veröffentlicht in:	Medical physics (Lancaster) Jg. 50; H. 12; S. 7548 - 7557
Hauptverfasser:	Matsuo, Hidetoshi, Kitajima, Kazuhiro, Kono, Atsushi K., Kuribayashi, Kozo, Kijima, Takashi, Hashimoto, Masaki, Hasegawa, Seiki, Yamakado, Koichiro, Murakami, Takamichi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	01.12.2023
Schlagworte:	autoencoder conditional variational autoencoder deep learning PET imaging semi‐supervised learning
ISSN:	0094-2405, 2473-4209, 2473-4209
Online-Zugang:	Volltext
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