Detection of Human Bladder Epithelial Cancerous Cells with Atomic Force Microscopy and Machine Learning

The development of noninvasive methods for bladder cancer identification remains a critical clinical need. Recent studies have shown that atomic force microscopy (AFM), combined with pattern recognition machine learning, can detect bladder cancer by analyzing cells extracted from urine. However, the...

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Bibliographic Details
Main Authors: Mikhail Petrov, Nadezhda Makarova, Amir Monemian, Jean Pham, Małgorzata Lekka, Igor Sokolov
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Cells
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Online Access:https://www.mdpi.com/2073-4409/14/1/14
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