IEICE TRANSACTIONS on Fundamentals
A Computer-Aided Distinction Method of Borderline Grades of Oral Cancer
Summary :
We have developed a new computer-aided diagnostic system for differentiating oral borderline malignancies in hematoxylin-eosin stained microscopic images. Epithelial dysplasia and carcinoma in-situ (CIS) of oral mucosa are two different borderline grades similar to each other, and it is difficult to distinguish between them. A new image processing and analysis method has been applied to a variety of histopathological features and shows the possibility for differentiating the oral cancer borderline grades automatically. The method is based on comparing the drop-shape similarity level in a particular manually selected pair of neighboring rete ridges. It was found that the considered similarity level in dysplasia was higher than those in epithelial CIS, of which pathological diagnoses were conventionally made by pathologists. The developed image processing method showed a good promise for the computer-aided pathological assessment of oral borderline malignancy differentiation in clinical practice.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E93-A No.8 pp.1544-1552
- Publication Date
- 2010/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E93.A.1544
- Type of Manuscript
- PAPER
- Category
- Image
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Mustafa M. SAMI, Masahisa SAITO, Shogo MURAMATSU, Hisakazu KIKUCHI, Takashi SAKU, "A Computer-Aided Distinction Method of Borderline Grades of Oral Cancer" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 8, pp. 1544-1552, August 2010, doi: 10.1587/transfun.E93.A.1544.
Abstract: We have developed a new computer-aided diagnostic system for differentiating oral borderline malignancies in hematoxylin-eosin stained microscopic images. Epithelial dysplasia and carcinoma in-situ (CIS) of oral mucosa are two different borderline grades similar to each other, and it is difficult to distinguish between them. A new image processing and analysis method has been applied to a variety of histopathological features and shows the possibility for differentiating the oral cancer borderline grades automatically. The method is based on comparing the drop-shape similarity level in a particular manually selected pair of neighboring rete ridges. It was found that the considered similarity level in dysplasia was higher than those in epithelial CIS, of which pathological diagnoses were conventionally made by pathologists. The developed image processing method showed a good promise for the computer-aided pathological assessment of oral borderline malignancy differentiation in clinical practice.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.1544/_p
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@ARTICLE{e93-a_8_1544,
author={Mustafa M. SAMI, Masahisa SAITO, Shogo MURAMATSU, Hisakazu KIKUCHI, Takashi SAKU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Computer-Aided Distinction Method of Borderline Grades of Oral Cancer},
year={2010},
volume={E93-A},
number={8},
pages={1544-1552},
abstract={We have developed a new computer-aided diagnostic system for differentiating oral borderline malignancies in hematoxylin-eosin stained microscopic images. Epithelial dysplasia and carcinoma in-situ (CIS) of oral mucosa are two different borderline grades similar to each other, and it is difficult to distinguish between them. A new image processing and analysis method has been applied to a variety of histopathological features and shows the possibility for differentiating the oral cancer borderline grades automatically. The method is based on comparing the drop-shape similarity level in a particular manually selected pair of neighboring rete ridges. It was found that the considered similarity level in dysplasia was higher than those in epithelial CIS, of which pathological diagnoses were conventionally made by pathologists. The developed image processing method showed a good promise for the computer-aided pathological assessment of oral borderline malignancy differentiation in clinical practice.},
keywords={},
doi={10.1587/transfun.E93.A.1544},
ISSN={1745-1337},
month={August},}
Copy
TY - JOUR
TI - A Computer-Aided Distinction Method of Borderline Grades of Oral Cancer
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1544
EP - 1552
AU - Mustafa M. SAMI
AU - Masahisa SAITO
AU - Shogo MURAMATSU
AU - Hisakazu KIKUCHI
AU - Takashi SAKU
PY - 2010
DO - 10.1587/transfun.E93.A.1544
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2010
AB - We have developed a new computer-aided diagnostic system for differentiating oral borderline malignancies in hematoxylin-eosin stained microscopic images. Epithelial dysplasia and carcinoma in-situ (CIS) of oral mucosa are two different borderline grades similar to each other, and it is difficult to distinguish between them. A new image processing and analysis method has been applied to a variety of histopathological features and shows the possibility for differentiating the oral cancer borderline grades automatically. The method is based on comparing the drop-shape similarity level in a particular manually selected pair of neighboring rete ridges. It was found that the considered similarity level in dysplasia was higher than those in epithelial CIS, of which pathological diagnoses were conventionally made by pathologists. The developed image processing method showed a good promise for the computer-aided pathological assessment of oral borderline malignancy differentiation in clinical practice.
ER -
English
