Prostatic Cells Classification Using Deep Learning
MetadataAfficher la notice complète
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.
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings II of the 26st Conference STUDENT EEICT 2020: Selected Papers. s. 28-31. ISBN 978-80-214-5868-0
- Student EEICT 2020