Automatic diagnosis supporting system for cervical cancer using image processing

Ayaka Iwai, Toshiyuki Tanaka

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

In this paper, we suggest methods of automated screening system for cervical cancer to support cyto-pathologists because there is the lack of number of pathologists. It is important to extract nuclei accurately for the automatic diagnosis supporting system. Cells firstly need to be divided into the blue cells and red ones because cells are dyed in different colors based on type of cell: superficial, intermediate squamous and basal cells. Nuclei are then extracted by superpixel segmentation. Finally, we detect malignant cells by nuclear enlargement and color density of nuclei, and distinguish between positive images and negative ones.

本文言語English
ホスト出版物のタイトル2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ479-482
ページ数4
2017-November
ISBN(電子版)9784907764579
DOI
出版ステータスPublished - 2017 11月 10
イベント56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan
継続期間: 2017 9月 192017 9月 22

Other

Other56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
国/地域Japan
CityKanazawa
Period17/9/1917/9/22

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 制御と最適化
  • 制御およびシステム工学
  • 器械工学

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