Deep learning-based classification of pleural malignancy using medical thoracoscopic images.

ABSTRACT:

Background

Malignant pleural effusion (MPE) is a frequent complication of advanced lung cancer, and rapid and accurate diagnosis is critical for timely therapeutic decision-making. Although medical thoracoscopy (MT) provides direct visualization and targeted biopsy, resulting in high diagnostic yield, the clinical utility of its findings is contingent on operator experience and subsequent confirmation via pathological analysis. Recent advances in deep learning have enabled automated image classification in various fields, but its application in thoracoscopic images remains unexplored. The aim of our study was to develop a deep learning-based model to classify pleural malignancy and to evaluate its diagnostic performance.

Methods

We developed a deep learning-based classificat

SUBMITTER: Hong YJ 

PROVIDER: S-EPMC12605396 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature