Classification of Breast Cancer Cells Using the Integration of High-Frequency Single-Beam Acoustic Tweezers and Convolutional Neural Networks

Single-beam acoustic tweezers (SBAT) is a widely used trapping technique to manipulate microscopic particles or cells. Recently, the characterization of a single cancer cell using high-frequency (>30 MHz) SBAT has been reported to determine its invasiveness and metastatic potential. Investigation...

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Bibliographic Details
Main Authors: Hae Gyun Lim, O-Joun Lee, K. Kirk Shung, Jin-Taek Kim, Hyung Ham Kim
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/12/5/1212