Endoscopy video frame classification using edge-based information analysis (original) (raw)

Endoscopic Image Classification Using Edge-Based Features

Andreas Vecsei

2010 20th International Conference on Pattern Recognition, 2010

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Informative frame detection from wireless capsule video endoscopic images

Md. Khayrul Bashar

Medical …, 2008

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Controlling the display of capsule endoscopy video for diagnostic assistance

hai vu

2009

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Wireless Capsule Endoscopy video segmentation

Giuseppe Scarpulla

2009

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Informative and Uninformative Regions Detection in WCE Frames

MAHDI ALIZADEH

Journal of Advanced Computing, 2014

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Effective and Accelerated Informative Frame Filtering in Colonoscopy Videos using Graphics Processing Unit

venkata ravi teja karri

2011

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Learning-based classification of informative endoscopic frames with applications in laryngoscopy

Gabriele Omodeo Vanone

2017

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Abnormal image detection in endoscopy videos using a filter bank and local binary patterns

Ruwan Nawarathna

Neurocomputing, 2014

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Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features

Girija Chetty

Computer-Assisted and Robotic Endoscopy, 2016

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Topic: Visual Information Retrieval in Endoscopic Video Archives

PRIYARANJAN KUMAR VERMA

Draft for Independent Research, 2019

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Learning-based classification of informative laryngoscopic frames

Luca Guastini

Computer Methods and Programs in Biomedicine

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Reduction of capsule endoscopy reading times by unsupervised image mining

Dimitris Iakovidis

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 2010

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9th International Conference on Medical Image Computing and Computer--Assisted Intervention

Fernando Vilariño

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Color-based template selection for detection of gastric abnormalities in video endoscopy

Hussam Ali

Biomedical Signal Processing and Control, 2020

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Automated Analysis of Endoscopic Images

Ritik Awachat

International Journal for Research in Applied Science and Engineering Technology, 2022

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Automatic classification of minimally invasive instruments based on endoscopic image sequences

Rudiger Dillmann

Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 2009

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A hybrid video mining approach for Cancerous polyp detection in endoscopy videos

N P Kavya

2018

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Visual information retrieval in endoscopic video archives

Pia Muñoz

2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI), 2015

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Detecting informative frames from wireless capsule endoscopic video using color and texture features

Md. Khayrul Bashar

2008

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Algorithms for Real-Time Endoscopy Image Processing Pipeline in Clinical Decision Support Systems

Nataliia Obukhova

Int. J. Embed. Real Time Commun. Syst., 2019

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Adaptive Control of Video Display for Diagnostic Assistance by Analysis of Capsule Endoscopic Images

Hai Vu

2006

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Extraction of Key-frames of Endoscopic Videos by using Depth Information

Yuji Iwahori

ArXiv, 2021

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Classification of Endoscopic Images Using Delaunay Triangulation-Based Edge Features

Andreas Vecsei

Lecture Notes in Computer Science, 2010

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Automatic classification of minimally invasive instruments based on endoscopic image sequences

Rudiger Dillmann

Progress in Biomedical Optics and Imaging, 2009

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CLASSIFICATION OF BLEEDING AND NON-BLEEDING REGIONS IN WIRELESS CAPSULE ENDOSCOPY VIDEOS USING ARTIFICIAL NEURAL NETWORK

GJESR Journal

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Extraction of Key-frames From Endoscopic Videos by using Depth Information

Yuji Iwahori

IEEE Access, 2021

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Automatic Computer Aided Bleeding Detection Scheme for Wireless Capsule Endoscopy (WCE) Video Based on Higher and Lower Order Statistical Features in a Composite Color

Tonmoy Ghosh

Journal of Medical and Biological Engineering, 2017

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Intelligent frame selection for anatomic reconstruction from endoscopic video

Daniel Mirota

2009

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Video summarization based tele-endoscopy: a service to efficiently manage visual data generated during wireless capsule endoscopy procedure

Muhammad Sajjad

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Automated endoscopic navigation and advisory system from medical image

Chee Kwoh

SPIE Proceedings, 1999

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