Machine-Learning-Based Classification Model to Address Diagnostic Challenges in Transbronchial Lung Biopsy

Machine-Learning-Based Classification Model to Address Diagnostic Challenges in Transbronchial Lung Biopsy

Background: When obtaining specimens from pulmonary nodules in TBLB, distinguishing between benign samples and mis-sampling from a tumor presents a challenge. Our objective is to develop a machine-learning-based classifier for TBLB specimens. Methods: Three pathologists assessed six pathological fin...

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Bibliographic Details
Main Authors: Hisao Sano, Ethan N. Okoshi, Yuri Tachibana, Tomonori Tanaka, Kris Lami, Wataru Uegami, Yoshio Ohta, Luka Brcic, Andrey Bychkov, Junya Fukuoka
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Cancers
Subjects:
transbronchial lung biopsy (TBLB)
non-diagnostic samples
Delphi method
interface bronchitis/bronchiolitis (IB/B)
decision-tree based classifiers
Online Access:https://www.mdpi.com/2072-6694/16/4/731

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https://www.mdpi.com/2072-6694/16/4/731

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