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SCI-Expanded JCR Q1 Özgün Makale Scopus
Computer-Aided Diagnosis System for Detection of Stomach Cancer with Image Processing Techniques
Journal of Medical Systems 2019 Cilt 43 Sayı 99
Scopus Eşleşmesi Bulundu
29
Atıf
43
Cilt
Scopus Yazarları: Ali Yasar, Ismail Saritas, Huseyin Korkmaz
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.
Anahtar Kelimeler (Scopus)
Stomach cancer Computerized decision support(CDS) system Image processing Region growing Segmentation Statistical region merging Statistical region merging with region growing
Scimago Dergi Bilgisi Otomatik ISSN Eşleştirmesi 2019 yılı verileri
Journal of Medical Systems
Q2
SJR Quartile
0,686
SJR Skoru
120
H-Index
Kategoriler: Health Informatics (Q2) · Health Information Management (Q2) · Information Systems (Q2) · Medicine (miscellaneous) (Q2)
Alanlar: Computer Science · Health Professions · Medicine
Ülke: United States · Springer New York
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir. Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.

Anahtar Kelimeler

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

Makale Bilgileri

Dergi Journal of Medical Systems
ISSN 0148-5598
Yıl 2019 / 3. ay
Cilt / Sayı 43 / 99
Sayfalar 1 – 11
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks SCI-Expanded
JCR Quartile Q1
TEŞV Puanı 27,00
Yayın Dili İngilizce
Kapsam Uluslararası
Toplam Yazar 3 kişi
Erişim Türü Basılı+Elektronik
Erişim Linki Makaleye Git
Sponsor Selcuk University Scientific Research Projects Coordination Office (BAP), project number 15101020.
Alan Mühendislik Temel Alanı Elektrik-Elektronik ve Haberleşme Mühendisliği Devreler ve Sistemler Teorisi Yapay Zeka

YÖKSİS Yazar Kaydı

Yazar Adı YAŞAR ALİ,SARITAŞ İSMAİL,KORKMAZ HÜSEYİN
YÖKSİS ID 4105691