Application of Radiomics for Differentiating Lung Neuroendocrine Neoplasms

Application of Radiomics for Differentiating Lung Neuroendocrine Neoplasms

<b>Background/Objectives:</b> Lung neuroendocrine neoplasms (NENs) are a heterogeneous group of tumors requiring accurate differentiation from non-small cell lung cancer (NSCLC) for effective treatment. Conventional computed tomography (CT) lacks pathognomonic features to distinguish the...

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Bibliographic Details
Main Authors: Aleksandr Borisov, David Karelidze, Mikhail Ivannikov, Elina Shakhvalieva, Peri Sultanova, Kirill Arzamasov, Nikolai Nudnov, Yuriy Vasilev
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Diagnostics
Subjects:
radiomics
neuroendocrine neoplasms
lung cancer
machine learning
Online Access:https://www.mdpi.com/2075-4418/15/7/874
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