Kurum Yazarı "Yılmaz, Bülent" İçin Listeleme
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Comparison of 3D texture features and metabolic parameters obtained from 18-F FDG-PET/CT images for evaluating tumor stage and subtype in non-small cell lung cancer
Karacavus, S.; Yılmaz, Bülent; Ayyildiz, Oğuzhan; Kayaalti, O.; Tasdemir, A.; Kaya, E.; İçer, Semra; Eset, K.; Vardareli, E.; Asyali, M. H. (SPRINGER, 2015).... -
A comprehensive study on automatic non-informative frame detection in colonoscopy videos
Kaçmaz, Rukiye Nur; Doğan, Refika Sultan; Yılmaz, Bülent (WILEY, 2024)Despite today's developing healthcare technology, conventional colonoscopy is still a gold-standard method to detect colon abnormalities. Due to the folded structure of the intestine and visual disturbances caused by ... -
Histopathology image classification: highlighting the gap between manual analysis and AI automation
Doğan, Refika Sultan; Yılmaz, Bülent (FRONTIERS MEDIA SA, 2023)The field of histopathological image analysis has evolved significantly with the advent of digital pathology, leading to the development of automated models capable of classifying tissues and structures within diverse ... -
Medical infrared thermal image based fatty liver classification using machine and deep learning
Ozdil, Ahmet; Yilmaz, Bulent (TAYLOR & FRANCIS LTD, 2023)Non-alcoholic fatty liver disease (NAFLD) causes accumulation of excess fat in the liver affecting people who drink little to no alcohol. Non-alcoholic steatohepatitis (NASH) is an aggressive form of fatty liver disease ... -
Understanding Communication via Diffusion: Simulation Design and Intricacies
Acar, Bilal; Akkaya, Ali; Genc, Gaye; Yilmaz, H. Birkan; Kuran, M. Sukru; Tugcu, Tuna (SPRINGER INTERNATIONAL PUBLISHING AGGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, 2017)Understanding Communication via Diffusion (CvD) is key to molecular communications research since it dominates the movement at the nano-scale. The researcher needs to properly understand the random diffusion of the molecules ...