The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
우리는 헤마톡실린-에오신 염색 현미경 이미지에서 구강 경계성 악성종양을 구별하기 위한 새로운 컴퓨터 지원 진단 시스템을 개발했습니다. 상피 이형성증과 구강 점막의 상피내암종(CIS)은 서로 유사한 두 가지 다른 경계선 등급이므로 구별하기가 어렵습니다. 다양한 조직병리학적 특징에 새로운 영상 처리 및 분석 방법을 적용해 구강암의 경계선 등급을 자동으로 구분할 수 있는 가능성을 보여줍니다. 이 방법은 인접한 망상 능선의 수동으로 선택한 특정 쌍의 물방울 모양 유사성 수준을 비교하는 것을 기반으로 합니다. 이형성증에서 고려되는 유사성 수준은 병리학자가 전통적으로 병리학적 진단을 내렸던 상피 CIS의 유사성 수준보다 높은 것으로 나타났습니다. 개발된 이미지 처리 방법은 임상 실습에서 구강 경계선 악성종양의 컴퓨터 보조 병리학적 평가에 대한 좋은 가능성을 보여주었습니다.
의료영상 분석, 구강 경계선 악성종양, 특징 정량화, 분할, 에젤
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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
부
@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},}
부
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 -