loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Krati Gupta ; Arnav Bhavsar and Anil K. Sao

Affiliation: Indian Institute of Technology Mandi, India

Keyword(s): Mitotic Cells, HEp-2 cells, Auto-immune Disorders, Computer-Aided Detection (CAD), CNN Architecture, Support Vector Machines, AlexNet Architecture.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.190.219.65

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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) - BIOIMAGING; ISBN 978-989-758-278-3; ISSN 2184-4305, SciTePress, pages 167-174. DOI: 10.5220/0006721501670174

@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) - BIOIMAGING},
year={2018},
pages={167-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006721501670174},
isbn={978-989-758-278-3},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOIMAGING
TI - CNN based Mitotic HEp-2 Cell Image Detection
SN - 978-989-758-278-3
IS - 2184-4305
AU - Gupta, K.
AU - Bhavsar, A.
AU - Sao, A.
PY - 2018
SP - 167
EP - 174
DO - 10.5220/0006721501670174
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic