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.
| 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 |
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ASJC Scopus subject areas
- Computer Science Applications
- Control and Optimization
- Control and Systems Engineering
- Instrumentation
これを引用
Automatic diagnosis supporting system for cervical cancer using image processing. / Iwai, Ayaka; Tanaka, Toshiyuki.
2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. 巻 2017-November Institute of Electrical and Electronics Engineers Inc., 2017. p. 479-482.研究成果: Conference contribution
}
TY - GEN
T1 - Automatic diagnosis supporting system for cervical cancer using image processing
AU - Iwai, Ayaka
AU - Tanaka, Toshiyuki
PY - 2017/11/10
Y1 - 2017/11/10
N2 - 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.
AB - 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.
KW - Cervical cancer
KW - Diagnosis supporting system
KW - Image processing
UR - http://www.scopus.com/inward/record.url?scp=85044113911&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044113911&partnerID=8YFLogxK
U2 - 10.23919/SICE.2017.8105610
DO - 10.23919/SICE.2017.8105610
M3 - Conference contribution
AN - SCOPUS:85044113911
VL - 2017-November
SP - 479
EP - 482
BT - 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -