Evaluation of Endoscopic Mayo Score with an Artificial Intelligence Algorithm

Kani, Haluk Tarık
Ergenç, İlkay
Polat, Görkem
Özen Alahdab, Yeşim
Temizel, Alptekin
Atuğ, Özlen


Improving the Computer-Aided Estimation of Ulcerative Colitis Severity According to Mayo Endoscopic Score by Using Regression-Based Deep Learning
Polat, Gorkem; Kani, Haluk Tarik; Ergenc, Ilkay; Alahdab, Yesim Ozen; Temizel, Alptekin; Atug, Ozlen (2022-11-01)
Background Assessment of endoscopic activity in ulcerative colitis (UC) is important for treatment decisions and monitoring disease progress. However, substantial inter- and intraobserver variability in grading impairs the assessment. Our aim was to develop a computer-aided diagnosis system using deep learning to reduce subjectivity and improve the reliability of the assessment. Methods The cohort comprises 11 276 images from 564 patients who underwent colonoscopy for UC. We propose a regression-based deep ...
Improving reinforcement learning by using sequence trees
Girgin, Sertan; Polat, Faruk; Alhajj, Reda (Springer Science and Business Media LLC, 2010-12-01)
This paper proposes a novel approach to discover options in the form of stochastic conditionally terminating sequences; it shows how such sequences can be integrated into the reinforcement learning framework to improve the learning performance. The method utilizes stored histories of possible optimal policies and constructs a specialized tree structure during the learning process. The constructed tree facilitates the process of identifying frequently used action sequences together with states that are visit...
Modeling human thinking about similarities by neuromatrices in the perspective of fuzzy logic
Grobelny, Jerzy; Michalski, Rafal; Weber, Gerhard Wilhelm (Springer Science and Business Media LLC, 2020-09-01)
In this work, we propose a new method for modeling human reasoning about objects' similarities. We assume that similarity depends on perceived intensities of objects' attributes expressed by natural language expressions such as low, medium, and high. We show how to find the underlying structure of the matrix with intensities of objects' similarities in the factor-analysis-like manner. The demonstrated approach is based on fuzzy logic and set theory principles, and it uses only maximum and minimum operators....
Investigation of the effect of sodium butyrate induced differentiation on inflammatory pathways in colon cancer cells
Küçükdemir, Mümine; Banerjee, Sreeparna; Department of Biology (2012)
Sodium butyrate (NaBt) is a four-carbon short chain fatty acid, produced naturally in colon as the end product of the bacterial anaerobic metabolism on dietary fibers. It was previously shown that NaBt can induce differentiation and may inhibit proliferation. The objective of this study was to investigate the effect of NaBt-induced differentation on inflammatory pathways in HT29 colon cancer cells. For this purpose, first, cells were treated with varying concentrations of NaBt from 1-5 mM and amount require...
Two approaches for collective learning with language games
Gülçehre, Çağlar; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2011)
This thesis presents a defense of the view that externalism cannot be a theoretical basis of a mentalistic causal-explanatory science, even though such a theoretical basis is implicitly or explicitly adopted by many cognitive scientists. Externalism is a theory in philosophy of mind which states that mental properties are relations between the core realizers of an individual’s mental states (such as brain states) and certain things that exist outside those realizers (such as what the content of a mental sta...
Citation Formats
H. T. Kani, İ. Ergenç, G. Polat, Y. Özen Alahdab, A. Temizel, and Ö. Atuğ, “Evaluation of Endoscopic Mayo Score with an Artificial Intelligence Algorithm,” Journal Of Crohns & Colitis, pp. 195–196, 2021, Accessed: 00, 2021. [Online]. Available: https://academic.oup.com/ecco-jcc/article/15/Supplement_1/S195/6286288.