CNN based Mitotic HEp-2 Cell Image Detection
Krati Gupta, Arnav Bhavsar, Anil K. Sao
2018
Abstract
We propose a Convolutional Neural Network (CNN) framework to detect the individual mitotic HEp-2 cells against non-mitotic cells, which is important for Computer-Aided Detection (CAD) system for auto-immune disease diagnosis. The significant aspect of detecting mitotic HEp-2 cells is to consider the distinctive appearance differences between the mitotic and non-mitotic classes that are represented through the learned features from pre-trained CNN. We especially focus on gauging the effectiveness of learned features from different CNN layers, combined with traditional Support Vector Machine (SVM) classifier. We also consider the class sample skew between the classes. Importantly, we compare and discuss the performance of learned feature representations, and show that some of these features are indeed very effective in discriminating mitotic and non-mitotic cells. We demonstrate a high classification performance using the proposed framework.
DownloadPaper Citation
in Harvard Style
Gupta K., Bhavsar A. and Sao A. (2018). CNN based Mitotic HEp-2 Cell Image Detection. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 2: BIOIMAGING; ISBN 978-989-758-278-3, SciTePress, pages 167-174. DOI: 10.5220/0006721501670174
in Bibtex Style
@conference{bioimaging18,
author={Krati Gupta and Arnav Bhavsar and Anil K. Sao},
title={CNN based Mitotic HEp-2 Cell Image Detection},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 2: BIOIMAGING},
year={2018},
pages={167-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006721501670174},
isbn={978-989-758-278-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 2: BIOIMAGING
TI - CNN based Mitotic HEp-2 Cell Image Detection
SN - 978-989-758-278-3
AU - Gupta K.
AU - Bhavsar A.
AU - Sao A.
PY - 2018
SP - 167
EP - 174
DO - 10.5220/0006721501670174
PB - SciTePress