Cefa Karabağ

Texture Segmentation: An Objective Comparison between Five Traditional Algorithms and a Deep-Learning U-Net Architecture

Cefa Karabağ, Jo Verhoeven, Naomi R. Miller et al. · Applied Sciences · 2019 · 31 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

DRD-UNet, a UNet-Like Architecture for Multi-Class Breast Cancer Semantic Segmentation

Mauricio Alberto Ortega-Ruíz, Cefa Karabağ, Edgar Román-Rangel et al. · IEEE Access · 2024 · 30 citations · Full text

Convolutional Neural Network, Medical Image Segmentation, Tissue Semantic Segmentation +27

Classification and Visualisation of Normal and Abnormal Radiographs; A Comparison between Eleven Convolutional Neural Network Architectures

Ananda Ananda, Kwun Ho Ngan, Cefa Karabağ et al. · Sensors · 2021 · 27 citations · Full text

Segmentation and Modelling of the Nuclear Envelope of HeLa Cells Imaged with Serial Block Face Scanning Electron Microscopy

Cefa Karabağ, Martin L. Jones, Christopher J. Peddie et al. · Journal of Imaging · 2019 · 21 citations · Full text

Engineering, Nuclear Structure, Microscopy +21

Semantic segmentation of HeLa cells: An objective comparison between one traditional algorithm and four deep-learning architectures

Cefa Karabağ, Martin L. Jones, Christopher J. Peddie et al. · PLoS ONE · 2020 · 21 citations · Full text

Convolutional Neural Network, Medical Image Segmentation, Engineering +25