2024-03-29T13:17:27Z
https://niigata-u.repo.nii.ac.jp/oai
oai:niigata-u.repo.nii.ac.jp:00001857
2022-12-15T03:34:37Z
423:424:425
453:454
A Computer-Aided Distinction Method of Borderline Grades of Oral Cancer
Sami, Mustafa M.
Saito, Msahisa
Muramatsu, Shogo
Kikuchi, Hisakazu
Saku, Takashi
Copyright©2010 IEICE
medical image analysis
oral borderline malignancy
feature quantification
segmentation
edgel
We have developed a new computer-aided diagnostic system for differentiating oral borderline malignancies in hamatoxylin-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.
電子情報通信学会
2010-08
eng
journal article
VoR
http://hdl.handle.net/10191/18501
https://niigata-u.repo.nii.ac.jp/records/1857
http://doi.org/10.1587/transfun.e93.a.1544
http://www.ieice.org/jpn/trans_online/
AA10826239
0916-8508
IEICE transactions on fundamentals of electronics, communications and computer sciences
E93-A
8
1544
1552
https://niigata-u.repo.nii.ac.jp/record/1857/files/E93-A_8_1544-1552.pdf
application/pdf
1.4 MB
2019-07-29