Detail publikace

PROSTATIC CELLS CLASSIFICATION USING DEEP LEARNING

MAJERČÍK, J. ŠPAČEK, M.

Originální název

PROSTATIC CELLS CLASSIFICATION USING DEEP LEARNING

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

cell classification; deep learning; neural network; quantitative phase imaging; microscopy

Autoři

MAJERČÍK, J.; ŠPAČEK, M.

Vydáno

1. 6. 2020

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and

Místo

Brno, Czech Republic

ISBN

978-80-214-5868-0

Kniha

Proceedings II of the 26th Conference STUDENT EEICT 2020

Edice

1

Strany od

28

Strany do

31

Strany počet

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2020_sbornik_2.pdf

BibTex

@inproceedings{BUT177113,
  author="Jakub {Majerčík} and Michal {Špaček}",
  title="PROSTATIC CELLS CLASSIFICATION USING DEEP LEARNING",
  booktitle="Proceedings II of the 26th Conference STUDENT EEICT 2020",
  year="2020",
  series="1",
  pages="28--31",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and",
  address="Brno, Czech Republic",
  isbn="978-80-214-5868-0",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2020_sbornik_2.pdf"
}