WiLD: Widening view angle for lesion detection with gastroscopic images

Soo Yeon Sohn; Dongkyu R. Lee; Suk Kyu Lee; Hwangnam Kim; Yun Suhk Suh; Seong Ho Kong; Hyuk Joon Lee; Han Kwang Yang

doi:10.1109/ICC.2016.7511600

WiLD: Widening view angle for lesion detection with gastroscopic images

Soo Yeon Sohn, Dongkyu R. Lee, Suk Kyu Lee, Hwangnam Kim, Yun Suhk Suh, Seong Ho Kong, Hyuk Joon Lee, Han Kwang Yang

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In modern medical service, various medical devices are used. Among these instruments, endoscope is one the most common, and versatile device, which can be used in various situations. Endoscopy is the best screening and diagnostic method allowing physician to examine the patients inner body without causing any harm. However, the narrow view of endoscopic images causes hardship to endoscopists in the procedure of discriminating abnormal from normal tissues. In this paper, we propose a lesion detection gastroscopy system with mosaic image that can assist endoscopist in identifying the lesions. To precisely classify the lesions, we devise a novel classification method named as DSA and visualize the abnormal region clearly to assist endoscopists for lesion detection.

Original language	English
Title of host publication	2016 IEEE International Conference on Communications, ICC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479966646
DOIs	https://doi.org/10.1109/ICC.2016.7511600
Publication status	Published - 2016 Jul 12
Event	2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia Duration: 2016 May 22 → 2016 May 27

Other

Other	2016 IEEE International Conference on Communications, ICC 2016
Country/Territory	Malaysia
City	Kuala Lumpur
Period	16/5/22 → 16/5/27

Keywords

Computer-aided diagnosis
e-health
Gastroscopy imaging
Lesion detection

ASJC Scopus subject areas

Computer Networks and Communications

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10.1109/ICC.2016.7511600

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Sohn, SY, Lee, DR, Lee, SK, Kim, H, Suh, YS, Kong, SH, Lee, HJ & Yang, HK 2016, WiLD: Widening view angle for lesion detection with gastroscopic images. in 2016 IEEE International Conference on Communications, ICC 2016., 7511600, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on Communications, ICC 2016, Kuala Lumpur, Malaysia, 16/5/22. https://doi.org/10.1109/ICC.2016.7511600

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title = "WiLD: Widening view angle for lesion detection with gastroscopic images",

abstract = "In modern medical service, various medical devices are used. Among these instruments, endoscope is one the most common, and versatile device, which can be used in various situations. Endoscopy is the best screening and diagnostic method allowing physician to examine the patients inner body without causing any harm. However, the narrow view of endoscopic images causes hardship to endoscopists in the procedure of discriminating abnormal from normal tissues. In this paper, we propose a lesion detection gastroscopy system with mosaic image that can assist endoscopist in identifying the lesions. To precisely classify the lesions, we devise a novel classification method named as DSA and visualize the abnormal region clearly to assist endoscopists for lesion detection.",

keywords = "Computer-aided diagnosis, e-health, Gastroscopy imaging, Lesion detection",

author = "Sohn, {Soo Yeon} and Lee, {Dongkyu R.} and Lee, {Suk Kyu} and Hwangnam Kim and Suh, {Yun Suhk} and Kong, {Seong Ho} and Lee, {Hyuk Joon} and Yang, {Han Kwang}",

year = "2016",

month = jul,

day = "12",

doi = "10.1109/ICC.2016.7511600",

language = "English",

booktitle = "2016 IEEE International Conference on Communications, ICC 2016",

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note = "2016 IEEE International Conference on Communications, ICC 2016 ; Conference date: 22-05-2016 Through 27-05-2016",

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AU - Sohn, Soo Yeon

AU - Lee, Dongkyu R.

AU - Lee, Suk Kyu

AU - Kim, Hwangnam

AU - Suh, Yun Suhk

AU - Kong, Seong Ho

AU - Lee, Hyuk Joon

AU - Yang, Han Kwang

PY - 2016/7/12

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N2 - In modern medical service, various medical devices are used. Among these instruments, endoscope is one the most common, and versatile device, which can be used in various situations. Endoscopy is the best screening and diagnostic method allowing physician to examine the patients inner body without causing any harm. However, the narrow view of endoscopic images causes hardship to endoscopists in the procedure of discriminating abnormal from normal tissues. In this paper, we propose a lesion detection gastroscopy system with mosaic image that can assist endoscopist in identifying the lesions. To precisely classify the lesions, we devise a novel classification method named as DSA and visualize the abnormal region clearly to assist endoscopists for lesion detection.

AB - In modern medical service, various medical devices are used. Among these instruments, endoscope is one the most common, and versatile device, which can be used in various situations. Endoscopy is the best screening and diagnostic method allowing physician to examine the patients inner body without causing any harm. However, the narrow view of endoscopic images causes hardship to endoscopists in the procedure of discriminating abnormal from normal tissues. In this paper, we propose a lesion detection gastroscopy system with mosaic image that can assist endoscopist in identifying the lesions. To precisely classify the lesions, we devise a novel classification method named as DSA and visualize the abnormal region clearly to assist endoscopists for lesion detection.

KW - Computer-aided diagnosis

KW - e-health

KW - Gastroscopy imaging

KW - Lesion detection

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BT - 2016 IEEE International Conference on Communications, ICC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 22 May 2016 through 27 May 2016

ER -

WiLD: Widening view angle for lesion detection with gastroscopic images

Abstract

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Keywords

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