Gastric polyps detection based on endoscopic video using modified dense micro-block difference descriptor

2020 ◽  
Author(s):  
Marina Zhdanova ◽  
Viacheslav V. Voronin ◽  
Evgenii Semenishchev ◽  
Oxana Balabaeva ◽  
Alexander Zelensky
Keyword(s):  
Gastric Polyps ◽  
Endoscopic Video

Precursor lesions of gastric polyps developing during maintenance omeprazole. A case-control study

2001 ◽  
Vol 120 (5) ◽  
pp. A657-A658
Author(s):  
A CATS ◽  
E BLOEMENA ◽  
E SCHENK ◽  
I CLINICS ◽  
S MEUWISSEN ◽  
...  
Keyword(s):  
Case Control Study ◽  
Case Control ◽  
Precursor Lesions ◽  
Gastric Polyps ◽  
Control Study

Gastric Polyps – Frequency,Types, Endoscopic Features and Associations

Endoscopy ◽  
2004 ◽  
Vol 36 (05) ◽  
Author(s):  
A Maguire ◽  
S Sebastian ◽  
R McLoughlin ◽  
A Qasim ◽  
P Crotty ◽  
...  
Keyword(s):  
Gastric Polyps

scholarly journals DL-based segmentation of endoscopic scenes for mitral valve repair

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Matthias Ivantsits ◽  
Lennart Tautz ◽  
Simon Sündermann ◽  
Isaac Wamala ◽  
Jörg Kempfert ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Minimally Invasive ◽  
Mitral Valve Repair ◽  
Video Stream ◽  
Field Of View ◽  
Valve Repair ◽  
Distance Measurements ◽  
Anatomical Structures ◽  
Endoscopic Video ◽  
Camera Position

AbstractMinimally invasive surgery is increasingly utilized for mitral valve repair and replacement. The intervention is performed with an endoscopic field of view on the arrested heart. Extracting the necessary information from the live endoscopic video stream is challenging due to the moving camera position, the high variability of defects, and occlusion of structures by instruments. During such minimally invasive interventions there is no time to segment regions of interest manually. We propose a real-time-capable deep-learning-based approach to detect and segment the relevant anatomical structures and instruments. For the universal deployment of the proposed solution, we evaluate them on pixel accuracy as well as distance measurements of the detected contours. The U-Net, Google’s DeepLab v3, and the Obelisk-Net models are cross-validated, with DeepLab showing superior results in pixel accuracy and distance measurements.

Maize Insects Classification Through Endoscopic Video Analysis

2019 ◽  
pp. 251-262
Author(s):  
André R. de Geus ◽  
Marcos A. Batista ◽  
Marcos N. Rabelo ◽  
Celia Z. Barcelos ◽  
Sérgio F. da Silva
Keyword(s):  
Video Analysis ◽  
Endoscopic Video

Prevalence of benign gastric polyps in a large pathology database

2015 ◽  
Vol 47 (2) ◽  
pp. 164-169 ◽  
Author(s):  
Amnon Sonnenberg ◽  
Robert M. Genta
Keyword(s):  
Gastric Polyps

scholarly journals Direct endoscopic video registration for sinus surgery

2009 ◽  
Author(s):  
Daniel Mirota ◽  
Russell H. Taylor ◽  
Masaru Ishii ◽  
Gregory D. Hager
Keyword(s):  
Sinus Surgery ◽  
Video Registration ◽  
Endoscopic Video

scholarly journals Computer-aided tumor detection in endoscopic video using color wavelet features

2003 ◽  
Vol 7 (3) ◽  
pp. 141-152 ◽  
Author(s):  
S.A. Karkanis ◽  
D.K. Iakovidis ◽  
D.E. Maroulis ◽  
D.A. Karras ◽  
M. Tzivras
Keyword(s):  
Tumor Detection ◽  
Endoscopic Video ◽  
Computer Aided ◽  
Wavelet Features

scholarly journals An immunohistochemical study of canine spontaneous gastric polyps

2014 ◽  
Vol 9 (1) ◽  
Author(s):  
Irina Amorim ◽  
Marian A Taulescu ◽  
Andreia Ferreira ◽  
Alexandra Rêma ◽  
Celso A Reis ◽  
...  
Keyword(s):  
Immunohistochemical Study ◽  
Gastric Polyps
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