Machine Learning Allows for Distinguishing Precancerous and Cancerous Human Epithelial Cervical Cells Using High-Resolution AFM Imaging of Adhesion Maps

Previously, the analysis of atomic force microscopy (AFM) images allowed us to distinguish normal from cancerous/precancerous human epithelial cervical cells using only the fractal dimension parameter. High-resolution maps of adhesion between the AFM probe and the cell surface were used in that stud...

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Bibliographic Details
Main Authors: Mikhail Petrov, Igor Sokolov
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Cells
Subjects:
Online Access:https://www.mdpi.com/2073-4409/12/21/2536