A comprehensive review of deep learning in colon cancerİshak Paçal, Ufuk Nalbantoğlu, Derviş Karaboğa et al.|Computers in Biology and Medicine|2020Cited by 279
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasetsİshak Paçal, Seymanur Coskun, Derviş Karaboğa et al.|Computers in Biology and Medicine|2021Cited by 155
Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)Ahmet Karaman, Derviş Karaboğa, Seymanur Coskun et al.|Expert Systems with Applications|2023Cited by 114
Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detectionAhmet Karaman, Ömür Şahin, Seymanur Coskun et al.|Applied Intelligence|2022Cited by 105