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
Kami telah membangunkan sistem diagnostik berbantukan komputer baharu untuk membezakan keganasan sempadan mulut dalam imej mikroskopik bernoda hematoxylin-eosin. Displasia epitelium dan karsinoma in-situ (CIS) mukosa mulut adalah dua gred sempadan berbeza yang serupa antara satu sama lain, dan sukar untuk membezakan antara mereka. Kaedah pemprosesan dan analisis imej baharu telah digunakan pada pelbagai ciri histopatologi dan menunjukkan kemungkinan untuk membezakan gred sempadan kanser mulut secara automatik. Kaedah ini berdasarkan membandingkan tahap persamaan bentuk jatuh dalam pasangan rabung rete yang dipilih secara manual tertentu. Didapati bahawa tahap persamaan yang dianggap dalam displasia adalah lebih tinggi daripada yang terdapat dalam CIS epitelium, yang mana diagnosis patologi secara konvensional dibuat oleh ahli patologi. Kaedah pemprosesan imej yang dibangunkan menunjukkan janji yang baik untuk penilaian patologi bantuan komputer bagi pembezaan keganasan sempadan mulut dalam amalan klinikal.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Salinan
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
Salinan
@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},}
Salinan
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 -