A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study

G Keser, İŞ Bayrakdar, FN Pekiner, Ö Çelik… - Journal of Stomatology …, 2023 - Elsevier
Introduction Deep learning methods have recently been applied for the processing of
medical images, and they have shown promise in a variety of applications. This study aimed …

AI on Oral Mucosal Lesion Detection

G Keser, F Namdar Pekiner, K Orhan - Artificial Intelligence in Dentistry, 2024 - Springer
Artificial intelligence (AI) has developed as a fundamental research topic in computer
science. Although AI has been around for a while and has been used in a variety of sectors …

Prediction of Chicken Diseases by Transfer Learning Method

MC Bıngol, G Bilgin - International Scientific and Vocational Studies …, 2023 - dergipark.org.tr
With the development of computing technologies, artificial intelligence is used in a wide
range of areas, from engineering to healthcare. In this study, it was aimed to predict chicken …

[PDF][PDF] Çocuklarda Anemi Hastalığının Teşhisinde Topluluk Öğrenme Yöntemlerinin Kullanılması

E Farzaliyev, Q Saihood, E Sonuç - 1 st International Conference on …, 2023 - academia.edu
Okul öncesi çocukların en yaygın hastalığı, özellikle gelişmekte olan ülkelerde, anemi olarak
bilinmektedir. Anemi genellikle kötü beslenme ile ilişkili olup, demografik ve sosyal …

Multi-Class Classification with the Gaussian Naive Bayes Algorithm

A Çınar - Journal of Data Applications, 2023 - dergipark.org.tr
Classification is a data mining technique involving supervised machine learning and is the
process of predicting the class of data or dataset whose class is unknown using existing …

[PDF][PDF] MACHINE LEARNING-BASED RICE GRAIN CLASSIFICATION THROUGH NUMERICAL FEATURE EXTRACTION FROM RICE IMAGE DATA

İ KIRBAŞ, A ÇİFCİ - researchgate.net
Rice is a staple food for over half of the world, making it a crucial crop on a global scale. It is
a major source of food and income for millions of people and is widely cultivated in many …