Artificial intelligence deep learning software for segmentation of mediastinal and hilar lymph nodes on plain CT: a retrospective study in a cancer population

Artificial intelligence deep learning software for segmentation of mediastinal and hilar lymph nodes on plain CT: a retrospective study in a cancer population

Abstract Background Accurate identification and characterization of lymph nodes (LNs) are essential in cancer staging and treatment planning. While artificial intelligence (AI) has shown potential in detecting lymphadenopathy on contrast-enhanced CT scans, its performance on non-contrast (plain) CT...

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Bibliographic Details
Main Authors: Taku Takaishi, Tatsuya Kawai, Megumi Kita, Shunsuke Shibata, Akio Hiwatashi
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:The Egyptian Journal of Radiology and Nuclear Medicine
Subjects:
CT
Artificial intelligence
Deep learning
Segmentation
Online Access:https://doi.org/10.1186/s43055-024-01397-7
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https://doi.org/10.1186/s43055-024-01397-7

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