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Applying deep learning-based ensemble model to [18F]-FDG-PET-radiomic features for differentiating benign from malignant parotid gland diseases

Published Online: 2024-09-10

Published Print: 2025-01

Authors

Nakajo, Masatoyo

Hirahara, Daisuke

Jinguji, Megumi

Hirahara, Mitsuho

Tani, Atsushi

Nagano, Hiromi

Takumi, Koji

Kamimura, Kiyohisa

Kanzaki, Fumiko

Yamashita, Masaru

Yoshiura, Takashi
Funding

Funding for this research was provided by:

Kagoshima University
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Text and Data Mining valid from 2024-09-10

Version of Record valid from 2024-09-10
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Article History

Received: 19 July 2024

Accepted: 26 August 2024

First Online: 10 September 2024

Declarations

:

: The authors declare that they have no conflict interest.

: This retrospective study was approved by our institution’s internal ethics review board (No. 240007).

: Informed consent was waived by the institutional review board for this retrospective study.

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