Automatic classification of neoplastic lesion on gastric biopsy images

Emi Morotomi, Toshiyuki Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In histopathological diagnosis, pathologists observe the biopsy images and diagnose the tumor grade. However, the number of pathologists has been decreasing, so the demand for cancer diagnosis support system has been increasing in recent years. Therefore, this study proposes the method for automatic classification to two classes which are neoplastic lesion, and non-neoplastic lesion. Our method consists of image inputting, region extraction, feature calculation, and discriminant analysis. As the result, our method showed 93.33% accuracy on the neoplastic lesion, and 82.86% accuracy on the non-neoplastic lesion.

Original languageEnglish
Title of host publication2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages60-63
Number of pages4
ISBN (Print)9784907764487
DOIs
Publication statusPublished - 2015 Sep 30
Event54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 - Hangzhou, China
Duration: 2015 Jul 282015 Jul 30

Other

Other54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
CountryChina
CityHangzhou
Period15/7/2815/7/30

Fingerprint

Biopsy
Discriminant analysis
Feature extraction
Tumors

Keywords

  • Automatic classification
  • Gastric biopsy
  • Image processing

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Morotomi, E., & Tanaka, T. (2015). Automatic classification of neoplastic lesion on gastric biopsy images. In 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 (pp. 60-63). [7285506] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SICE.2015.7285506

Automatic classification of neoplastic lesion on gastric biopsy images. / Morotomi, Emi; Tanaka, Toshiyuki.

2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 60-63 7285506.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Morotomi, E & Tanaka, T 2015, Automatic classification of neoplastic lesion on gastric biopsy images. in 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015., 7285506, Institute of Electrical and Electronics Engineers Inc., pp. 60-63, 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015, Hangzhou, China, 15/7/28. https://doi.org/10.1109/SICE.2015.7285506
Morotomi E, Tanaka T. Automatic classification of neoplastic lesion on gastric biopsy images. In 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 60-63. 7285506 https://doi.org/10.1109/SICE.2015.7285506
Morotomi, Emi ; Tanaka, Toshiyuki. / Automatic classification of neoplastic lesion on gastric biopsy images. 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 60-63
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