About
About DergiPark
DergiPark Team
DergiPark DOI Service
Journals
Publishers
All
University
Government
TRH
Association
Foundation
Trade Association
Private
Person
Union
Researchers
Subjects
Journal Wizard
Help
Trends
English
Turkish
English
Admin Panel
User Panel
My Journals
My Research
My Followers
Profile
Logout
Login
Researchers
Tuğba Şentürk
Tuğba Şentürk
Res. Assist.
İNÖNÜ ÜNİVERSİTESİ
Publication
3
Review
1
CrossRef Cited
1
3
Publication
1
Review
1
CrossRef Cited
Follow
Following
Edit My Profile
Followers
Following
Summary
Publications
Peer Review
Cited
Research Fields
Biomedical Engineering
Institution
İNÖNÜ ÜNİVERSİTESİ
Publications
Classification of the Effects of Diabetes on Lung Tissue with Histopathological Images: A Comparative Study Using LBP and GLCM Features
Authors:
Tuğba Şentürk
,
Fatma Latifoğlu
,
Demet Bolat
,
Arzu Yay
,
Munevver Baran
Published: 2023 ,
International Journal of Multidisciplinary Studies and Innovative Technologies
DOI: -
FAVORITE
0
TOTAL DOWNLOAD COUNT
88
0
FAVORITE
88
TOTAL DOWNLOAD COUNT
Deep Learning Based Methods for Biomedical Image Segmentation: A Review
Authors:
Tuğba Şentürk
,
Fatma Latifoğlu
Published: 2023 ,
Dicle University Journal of the Institute of Natural and Applied Sciences
DOI: 10.55007/dufed.1181996
FAVORITE
0
TOTAL DOWNLOAD COUNT
868
0
FAVORITE
868
TOTAL DOWNLOAD COUNT
Performance Analysis of Robust Local Mean Decomposition and Empirical Mode Decomposition Methods in the Detection of Epilepsy
Authors:
Oğuzkaan Çatalkaya
,
Tuba Hazman
,
Sabrına Turturova
,
Tuğba Şentürk
,
Fatma Latifoğlu
Published: 2022 ,
European Journal of Science and Technology
DOI: 10.31590/ejosat.1145969
FAVORITE
0
TOTAL DOWNLOAD COUNT
326
0
FAVORITE
326
TOTAL DOWNLOAD COUNT
Articles published in
Dicle University Journal of the Institute of Natural and Applied Sciences
European Journal of Science and Technology
International Journal of Multidisciplinary Studies and Innovative Technologies
Reviews
Kahramanmaras Sutcu Imam University Journal of Engineering Sciences
Publications
Deep Learning Based Methods for Biomedical Image Segmentation: A Review
Authors:
Tuğba Şentürk
,
Fatma Latifoğlu
Published: 2023 ,
Dicle University Journal of the Institute of Natural and Applied Sciences
DOI: 10.55007/dufed.1181996
CITED
1
FAVORITE
0
TOTAL DOWNLOAD COUNT
868
1
CITED
0
FAVORITE
868
TOTAL DOWNLOAD COUNT
Interactive Guide Tool
If you want to see the panel introduction, you can click Start Tour.
Start Tour