Preliminary study on detection and diagnosis of focal liver lesions based on a deep learning model using multimodal PET/CT images

Preliminary study on detection and diagnosis of focal liver lesions based on a deep learning model using multimodal PET/CT images

Objectives: To develop and validate a deep learning model using multimodal PET/CT imaging for detecting and classifying focal liver lesions (FLL). Methods: This study included 185 patients who underwent 18F-FDG PET/CT imaging at our institution from March 2022 to February 2023. We analyzed serologic...

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Bibliographic Details
Main Authors: Yingqi Luo, Qingqi Yang, Jinglang Hu, Xiaowen Qin, Shengnan Jiang, Ying Liu
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:European Journal of Radiology Open
Subjects:
Deep learning
Focal liver lesion
PET/CT
Online Access:http://www.sciencedirect.com/science/article/pii/S2352047724000790
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http://www.sciencedirect.com/science/article/pii/S2352047724000790

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