Attention-based representation learning for effective classification of medical i̇mages
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Performance, speed and classification accuracy are the most important criteria for effective classification of medical images. With the image representation method, it is aimed to provide these criteria in the best way and to realize learning.
Author
Selim Arslan
Institution
How to Cite
Selim Arslan (Master Thesis). Attention-based representation learning for effective classification of medical i̇mages, 2024, Bolu Abant İzzet Baysal University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Bolu Abant İzzet Baysal University
- In social studies students and teachers opinions on the training of cultural heritage(2014)
- Echocardiographic evaluation of right ventricular function in patients with coronary slow flow(2023)
- The relationship between emotional intelligence, marital satisfaction, and religiosity in married individuals(2024)
- A review of the trajectory of teaching the history of science in social studies and other textbooks(2023)
- Gerund in Kumuk Turkish(2025)
- An example of the charitable women sultans of the Ottoman Empire: Hurrem Sultan(2019)