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Volkan Müjdat Tiryaki
Assoc. Prof. Dr.
İSTANBUL TEKNİK ÜNİVERSİTESİ
Publication
2
Review
7
CrossRef Cited
4
TR Dizin Cited
1
2
Publication
7
Review
4
CrossRef Cited
1
TR Dizin Cited
0000-0003-1824-5260
37018798900
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Summary
Publications
Peer Review
Cited
Research Fields
Image Processing
Pattern Recognition
Deep Learning
Nanotechnology (Other)
Institution
İSTANBUL TEKNİK ÜNİVERSİTESİ
Publications
Deep Transfer Learning to Classify Mass and Calcification Pathologies from Screen Film Mammograms
Authors:
Volkan Müjdat Tiryaki
Published: 2023 ,
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
DOI: 10.17798/bitlisfen.1190134
FAVORITE
0
TOTAL DOWNLOAD COUNT
593
0
FAVORITE
593
TOTAL DOWNLOAD COUNT
Mamografi görüntülerindeki anormalliklerin yerel ikili örüntü ve varyantları kullanılarak sınıflandırılması
Authors:
Volkan Müjdat Tiryaki
Published: 2020 ,
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
DOI: 10.17798/bitlisfen.557411
FAVORITE
0
TOTAL DOWNLOAD COUNT
1664
0
FAVORITE
1664
TOTAL DOWNLOAD COUNT
Articles published in
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Editorship
Sakarya University Journal of Computer and Information Sciences
Section Editor
Turkish Journal of Applied Sciences and Technology
Section Editor
Editorial Board Memberships
Sakarya University Journal of Computer and Information Sciences
Reviews
Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Fırat Üniversitesi Mühendislik Bilimleri Dergisi
Journal of Polytechnic
Turkish Journal of Nature and Science
Publications
Deep Transfer Learning to Classify Mass and Calcification Pathologies from Screen Film Mammograms
Authors:
Volkan Müjdat Tiryaki
Published: 2023 ,
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
DOI: 10.17798/bitlisfen.1190134
CITED
3
FAVORITE
0
TOTAL DOWNLOAD COUNT
593
3
CITED
0
FAVORITE
593
TOTAL DOWNLOAD COUNT
Mamografi görüntülerindeki anormalliklerin yerel ikili örüntü ve varyantları kullanılarak sınıflandırılması
Authors:
Volkan Müjdat Tiryaki
Published: 2020 ,
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
DOI: 10.17798/bitlisfen.557411
CITED
1
FAVORITE
0
TOTAL DOWNLOAD COUNT
1664
1
CITED
0
FAVORITE
1664
TOTAL DOWNLOAD COUNT
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