Reveals how cell aggregation and nuclear overlap differentiate benign from malignant pleural effusions, suggesting a valuable analysis method.
In pleural cytology specimens from patients with lung cancer, the degree of cell aggregation and nuclear overlap is an important factor for distinguishing benign from malignant lesions. Moreover, although AI-based image analysis has advanced rapidly in recent years, this study emphasizes the continued value of CAIA approaches that employ algorithms readily interpretable by humans.
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Kaneko et al. (2026) studied this question.
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