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Computer-Aided Diagnosis System for Detection of Stomach Cancer with Image Processing Techniques

Journal of Medical Systems · Nisan 2019

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YÖKSİS Kayıtları
Computer-Aided Diagnosis System for Detection of Stomach Cancer with Image Processing Techniques
Journal of Medical Systems · 2019 SCI-Expanded
Prof. Dr. İSMAİL SARITAŞ →
Computer-Aided Diagnosis System for Detection of Stomach Cancer with Image Processing Techniques
Journal of Medical Systems · 2019 SCI-Expanded
Doç. Dr. ALİ YAŞAR →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 14 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
Computerized Control of the Procedure for Detecting and Removing Airborne Particles in Operating Rooms
2004 ISSN: 0148-5598 SCI-Expanded 3 atıf
Öğr. Gör. NESİP ERGÜL →
A New Data Preparation Method Based on Clustering Algorithms for Diagnosis Systems of Heart and Diabetes Diseases
2014 ISSN: 0148-5598 SCI-Expanded 8 atıf
Dr. Öğr. Üyesi ONUR İNAN →
Design of Web Based Fuzzy Input Expert System for the Analysis of Serology Laboratory Tests
2012 ISSN: 0148-5598 SCI-Expanded
Prof. Dr. FATİH BAŞÇİFTÇİ →
A Study on Hepatitis Disease Diagnosis Using Probabilistic Neural Network
2012 ISSN: 0148-5598 SCI-Expanded
Prof. Dr. MUHAMMET SERDAR BAŞÇIL →
A New Data Preparation Method Based on Clustering Algorithms for Diagnosis Systems of Heart and Diabetes Diseases
2014 ISSN: 0148-5598 SCI-Expanded Q2
Doç. Dr. MUSTAFA SERTER UZER →
A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm
2011 ISSN: 0148-5598 SCI-Expanded
Prof. Dr. MUHAMMET SERDAR BAŞÇIL →
Prediction of Breast Cancer Using Artificial Neural Networks
2011 ISSN: 0148-5598 SCI-Expanded 20 atıf Q1
Prof. Dr. İSMAİL SARITAŞ →
Using Elman Recurrent Neural Networks with Conjugate Gradient Algorithm in Determining the Anesthetic the Amount of Anesthetic Medicine to Be Applied
2010 ISSN: 0148-5598 SCI-Expanded
Prof. Dr. RÜŞTÜ GÜNTÜRKÜN →
Design and Construction of a Microcontroller Based Ventilator Synchronized with Pulse Oximeter
2016 ISSN: 0148-5598 SCI-Expanded
Doç. Dr. ADEM GÖLCÜK →
The Use of Stepper Motor-Controlled Proportional Valve for Fio2 Calculation in the Ventilator and its Control with Fuzzy Logic
2017 ISSN: 0148-5598 SCI-Expanded
Doç. Dr. ADEM GÖLCÜK →
An Artificial Neural Network Classification Approach for use the Ultrasound in Physiotherapy
2011 ISSN: 0148-5598 SCI-Expanded
Öğr. Gör. SEMA YILDIRIM →
Estimation of Medicine Amount Used Anesthesia by an Artificial Neural Network
2010 ISSN: 0148-5598 SCI-Expanded 2 atıf
Prof. Dr. RÜŞTÜ GÜNTÜRKÜN →
A New Approach on HCI Extracting Conscious Jaw Movements Based on EEG Signals Using Machine Learnings
2018 ISSN: 0148-5598 SCI-Expanded
Prof. Dr. MUHAMMET SERDAR BAŞÇIL →
Computer-Aided Diagnosis System for Detection of Stomach Cancer with Image Processing Techniques
2019 ISSN: 0148-5598 SCI-Expanded Q1
Doç. Dr. ALİ YAŞAR →

Makale Bilgileri

Dergi Journal of Medical Systems
ISSN01485598
Yayın TarihiNisan 2019
Cilt / Sayfa43
DOI10.1007/s10916-019-1203-y
Scopus ID2-s2.0-85063011958
Özet Stomach cancer is a type of cancer that is hard to detect at an early stage because it gives almost no symptoms at the beginning. Stomach cancer is an increasing incidence of cancer both in the World as well as in Turkey. The most common method used worldwide for gastric cancer diagnosis is endoscopy. However, definitive diagnosis is made with endoscopic biopsy results. Diagnosis with endoscopy is a very specific and sensitive method. With high-resolution endoscopy it is possible to detect mild discolorations, bulges and structural changes of the surface of the mucosa. However, because the procedures are performed with the eye of a doctor, it is possible that the cancerous areas may be missed and / or incompletely detected. Because of the fact that the cancerous area cannot be completely detected may cause the problem of cancer recurrence after a certain period of surgical intervention. In order to overcome this problem, a computerized decision support system (CDS) has been implemented with the help of specialist physicians and image processing techniques. The performed CDS system works as an assistant to doctors of gastroenterology, helping to identify the cancerous area in the endoscopic images of the scaffold, to take biopsies from these areas and to make a better diagnosis. We believe that gastric cancer will be helpful in determining the area and biopsy samples taken from the patient will be useful in determining the area. It is therefore considered a useful model.

Yazarlar (3)

1
Ali Yasar
2
Ismail Saritas
3
Huseyin Korkmaz

Anahtar Kelimeler

Computerized decision support(CDS) system Image processing Region growing Segmentation Statistical region merging Statistical region merging with region growing Stomach cancer

Kurumlar

Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Journal of Medical Systems
Q1
SJR Skoru0,962
H-Index120
YayıncıSpringer New York
ÜlkeUnited States
Information Systems (Q1)
Medicine (miscellaneous) (Q1)
Health Informatics (Q2)
Health Information Management (Q2)
Dergi sayfasına git

Metrikler

35
Atıf
3
Yazar
7
Anahtar Kelime

Sistemimizdeki Yazarlar

AY
ALİ YAŞAR
Doç. Dr.

Hızlı Erişim

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