Detection of Breast Carcinoma Regions Using Artificial Organisms
Summary :
This paper describes a new region segmentation method which is detectable carcinoma regions from hematoxylin and eosin (HE)-stained breast tumor images using collective behaviors of artificial organisms. In this model, the movement characteristics of artificial organisms are controlled by the gene, and the adaptive behavior of artificial organisms in the environment, carcinoma regions or not, is evaluated by the texture features.
- Publication
- IEICE TRANSACTIONS on Information Vol.E79-D No.11 pp.1596-1600
- Publication Date
- 1996/11/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Medical Electronics and Medical Information
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Hironori OKII, Takashi UOZUMI, Koichi ONO, Yasunori FUJISAWA, "Detection of Breast Carcinoma Regions Using Artificial Organisms" in IEICE TRANSACTIONS on Information,
vol. E79-D, no. 11, pp. 1596-1600, November 1996, doi: .
Abstract: This paper describes a new region segmentation method which is detectable carcinoma regions from hematoxylin and eosin (HE)-stained breast tumor images using collective behaviors of artificial organisms. In this model, the movement characteristics of artificial organisms are controlled by the gene, and the adaptive behavior of artificial organisms in the environment, carcinoma regions or not, is evaluated by the texture features.
URL: https://global.ieice.org/en_transactions/information/10.1587/e79-d_11_1596/_p
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@ARTICLE{e79-d_11_1596,
author={Hironori OKII, Takashi UOZUMI, Koichi ONO, Yasunori FUJISAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Detection of Breast Carcinoma Regions Using Artificial Organisms},
year={1996},
volume={E79-D},
number={11},
pages={1596-1600},
abstract={This paper describes a new region segmentation method which is detectable carcinoma regions from hematoxylin and eosin (HE)-stained breast tumor images using collective behaviors of artificial organisms. In this model, the movement characteristics of artificial organisms are controlled by the gene, and the adaptive behavior of artificial organisms in the environment, carcinoma regions or not, is evaluated by the texture features.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - Detection of Breast Carcinoma Regions Using Artificial Organisms
T2 - IEICE TRANSACTIONS on Information
SP - 1596
EP - 1600
AU - Hironori OKII
AU - Takashi UOZUMI
AU - Koichi ONO
AU - Yasunori FUJISAWA
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E79-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 1996
AB - This paper describes a new region segmentation method which is detectable carcinoma regions from hematoxylin and eosin (HE)-stained breast tumor images using collective behaviors of artificial organisms. In this model, the movement characteristics of artificial organisms are controlled by the gene, and the adaptive behavior of artificial organisms in the environment, carcinoma regions or not, is evaluated by the texture features.
ER -
English
