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
Hızlı Erişim
Metrikler
Scopus Atıf
29
JCR Quartile
Q1
TEŞV Puanı
27,00
Yazar Sayısı
3