AIMC Topic: Pleural Effusion, Malignant

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Whole slide image-level classification of malignant effusion cytology using clustering-constrained attention multiple instance learning.

Lung cancer (Amsterdam, Netherlands) Jun 1, 2025
BACKGROUND: Cytological diagnosis of pleural effusion plays an important role in the early detection and diagnosis of lung cancers. Recently, attempts have been made to overcome low diagnostic accuracy and interobserver variability using artificial i...
Humans Image Processing, Computer-Assisted Lung Neoplasms Cluster Analysis Cytodiagnosis Pleural Effusion, Malignant Multiple-Instance Learning Algorithms
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Machine learning-based Diagnostic model for determining the etiology of pleural effusion using Age, ADA and LDH.

Respiratory research May 2, 2025
BACKGROUND: Classification of the etiologies of pleural effusion is a critical challenge in clinical practice. Traditional diagnostic methods rely on a simple cut-off method based on the laboratory tests. However, machine learning (ML) offers a novel...
Humans Machine Learning Biomarkers Retrospective Studies Female Aged Aged, 80 and over Adult Male Middle Aged Cohort Studies Age Factors Pleural Effusion L-Lactate Dehydrogenase Pleural Effusion, Malignant Adenosine Deaminase
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[Diagnosis of malignant pleural effusions using convolutional neural networks by the morphometric image analysis of facies of pleural exudate].

Khirurgiia Jan 1, 2020
OBJECTIVE: To estimate the possibility of diagnosis of malignant pleural effusion using convolutional neural networks of facies images of pleural exudates obtained by the method of wedge-shaped dehydration.
Humans Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity Image Processing, Computer-Assisted Exudates and Transudates Pleural Effusion, Malignant
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