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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Bibliographic Details

Published in:	Medical physics (Lancaster) Vol. 50; no. 12; pp. 7548 - 7557
Main Authors:	Matsuo, Hidetoshi, Kitajima, Kazuhiro, Kono, Atsushi K., Kuribayashi, Kozo, Kijima, Takashi, Hashimoto, Masaki, Hasegawa, Seiki, Yamakado, Koichiro, Murakami, Takamichi
Format:	Journal Article
Language:	English
Published:	01.12.2023
Subjects:	autoencoder conditional variational autoencoder deep learning PET imaging semi‐supervised learning
ISSN:	0094-2405, 2473-4209, 2473-4209
Online Access:	Get full text
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