抜粋
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.
| 元の言語 | 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 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| ページ | 479-482 |
| ページ数 | 4 |
| 巻 | 2017-November |
| ISBN（電子版） | 9784907764579 |
| DOI | |
| 出版物ステータス | Published - 2017 11 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 19 → 2017 9 22 |
Other
| Other | 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 |
|---|---|
| 国 | Japan |
| 市 | Kanazawa |
| 期間 | 17/9/19 → 17/9/22 |
ASJC Scopus subject areas
- Computer Science Applications
- Control and Optimization
- Control and Systems Engineering
- Instrumentation
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これを引用
Iwai, A., & Tanaka, T. (2017). Automatic diagnosis supporting system for cervical cancer using image processing. ： 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 (巻 2017-November, pp. 479-482). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SICE.2017.8105610