Mehmet Süleyman Yıldırım profile image
Mehmet Süleyman Yıldırım Asst. Prof. Dr. BİLECİK ŞEYH EDEBALİ ÜNİVERSİTESİ
Publication 2 Review 5 CrossRef Cited 2
2 Publication
5 Review
2 CrossRef Cited
0000-0002-3998-1542

Research Fields

Image Processing Machine Learning Artificial Intelligence

Institution

BİLECİK ŞEYH EDEBALİ ÜNİVERSİTESİ

Publications

A Hybrid Method Based on Feature Fusion for Breast Cancer Classification using Histopathological Images
Authors: Emre Dandıl , Ali Osman Selvi , Kerim Kürşat Çevik , Mehmet Süleyman Yıldırım , Süleyman Uzun
Published: 2021 , European Journal of Science and Technology
DOI: 10.31590/ejosat.1018309
FAVORITE 0 TOTAL DOWNLOAD COUNT 545

0

545

Automated liver segmentation using Mask R-CNN on computed tomography scans
Authors: Emre Dandıl , Mehmet S. Yıldırım , Ali Osman Selvi , Süleyman Uzun
Published: 2021 , Journal of the Faculty of Engineering and Architecture of Gazi University
DOI: 10.17341/gazimmfd.774200
FAVORITE 0 TOTAL DOWNLOAD COUNT 1904

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1904

Articles published in
European Journal of Science and Technology
European Journal of Science and Technology
Journal of the Faculty of Engineering and Architecture of Gazi University
Journal of the Faculty of Engineering and Architecture of Gazi University

Reviews

Bilecik Seyh Edebali University Journal of Science
Bilecik Seyh Edebali University Journal of Science
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
International Journal of Data Science and Applications
International Journal of Data Science and Applications
Journal of Smart Systems Research
Journal of Smart Systems Research

Publications

Automated liver segmentation using Mask R-CNN on computed tomography scans
Authors: Emre Dandıl , Mehmet S. Yıldırım , Ali Osman Selvi , Süleyman Uzun
Published: 2021 , Journal of the Faculty of Engineering and Architecture of Gazi University
DOI: 10.17341/gazimmfd.774200
CITED 2 FAVORITE 0 TOTAL DOWNLOAD COUNT 1904

2

0

1904

Popular Publications: It is determined automatically by the researchers doing research in DergiPark according to the statistics of being added to the favorites. CrossRef Cited: The citations shown in DergiPark are drawn from CrossRef. For this, the cited and cited articles must be registered in CrossRef (DOI number). ^: Citation numbers are reflected in the system by DergiPark at certain periods.
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