What is it about?
Deng’s information dimension enables the statistical differentiation between normal and abnormal tissues, including those of the breast, colon, lung, and prostate. This comparison lays the groundwork for classifying histopathological cancer images using Deng entropy as a novel approach, which provides accurate assessments to pathologists through a computer-aided system.
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Why is it important?
Deng entropy contributes to digital pathology by enabling the development of AI models, which provide effective and precise classification of histopathological cancer images.
Perspectives
We would be interested in extending our experiments to obtain histological grades. These issues will be addressed in future studies. In addition, the integration of Deng entropy and bLSTM with clinical, biopsy, and ultrasound data (multimodel data) in Thyroid nodules are considered a future research direction.
Pilar Ortiz-Vilchis
Instituto Politecnico Nacional
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This page is a summary of: Histopathological cancer images classification with Deng entropy, Biomedical Physics & Engineering Express, September 2025, Institute of Physics Publishing,
DOI: 10.1088/2057-1976/ae07e8.
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