Prostatic Cells Classification Using Deep Learning
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Date
2020
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Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
Human prostate cancer PC-3 cell line is widely used in cancer research. Previously, Zinc- Resistant variant was described characteristically by higher dry cellular mass determined by quantitative phase imaging. This work aims to classify these 2 cell types into corresponding categories using machine learning methods. We have achieved 97.5% accuracy with the correct preprocessing using Res-Net network.
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Citation
Proceedings II of the 26st Conference STUDENT EEICT 2020: Selected Papers. s. 28-31. ISBN 978-80-214-5868-0
https://conf.feec.vutbr.cz/eeict/EEICT2020
https://conf.feec.vutbr.cz/eeict/EEICT2020
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií