scholarly journals Narrow-band imaging (NBI) magnifying endoscopic classification of colorectal tumors proposed by the Japan NBI Expert Team

2016 ◽  
Vol 28 (5) ◽  
pp. 526-533 ◽  
Author(s):  
Yasushi Sano ◽  
Shinji Tanaka ◽  
Shin-ei Kudo ◽  
Shoichi Saito ◽  
Takahisa Matsuda ◽  
...  
2016 ◽  
Vol 28 (5) ◽  
pp. 537-538 ◽  
Author(s):  
Gian Eugenio Tontini ◽  
Helmut Neumann

2016 ◽  
Vol 83 (5) ◽  
pp. AB368-AB369
Author(s):  
Yutaka Saito ◽  
Yasushi Sano ◽  
Shinji Tanaka ◽  
Shin-ei Kudo ◽  
Takahiro Fujii ◽  
...  

2016 ◽  
Vol 83 (5) ◽  
pp. AB190-AB191
Author(s):  
Kyoku Sumimoto ◽  
Shinji Tanaka ◽  
Shiro Oka ◽  
Daiki Hirano ◽  
Yuzuru Tamaru ◽  
...  

2020 ◽  
Vol 6 (3) ◽  
pp. 70-73
Author(s):  
Nazila Esmaeili ◽  
Alfredo Illanes ◽  
Axel Boese ◽  
Nikolaos Davaris ◽  
Christoph Arens ◽  
...  

AbstractLongitudinal and perpendicular changes in the blood vessels of the vocal fold have been related to the advancement from benign to malignant laryngeal cancer stages. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) provides intraoperative realtime visualization of vascular pattern in Larynx. The evaluation of these vascular patterns in CE+NBI images is a subjective process leading to differentiation difficulty and subjectivity between benign and malignant lesions. The main objective of this work is to compare multi-observer classification versus automatic classification of laryngeal lesions. Six clinicians visually classified CE+NBI images into benign and malignant lesions. For the automatic classification of CE+NBI images, we used an algorithm based on characterizing the level of the vessel’s disorder. The results of the manual classification showed that there is no objective interpretation, leading to difficulties to visually distinguish between benign and malignant lesions. The results of the automatic classification of CE+NBI images on the other hand showed the capability of the algorithm to solve these issues. Based on the observed results we believe that, the automatic approach could be a valuable tool to assist clinicians to classifying laryngeal lesions.


2011 ◽  
Vol 23 ◽  
pp. 106-111 ◽  
Author(s):  
YOSHIKI WADA ◽  
SHIN-EI KUDO ◽  
MASASHI MISAWA ◽  
NOBUNAO IKEHARA ◽  
SHIGEHARU HAMATANI

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