Metin Gurcan to Observer Variation
This is a "connection" page, showing publications Metin Gurcan has written about Observer Variation.
Connection Strength
0.614
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Binol H, Plotner A, Sopkovich J, Kaffenberger B, Niazi MKK, Gurcan MN. Ros-NET: A deep convolutional neural network for automatic identification of rosacea lesions. Skin Res Technol. 2020 May; 26(3):413-421.
Score: 0.179
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Senaras C, Niazi MKK, Sahiner B, Pennell MP, Tozbikian G, Lozanski G, Gurcan MN. Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images. PLoS One. 2018; 13(5):e0196846.
Score: 0.161
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Ahmad Fauzi MF, Khansa I, Catignani K, Gordillo G, Sen CK, Gurcan MN. Computerized segmentation and measurement of chronic wound images. Comput Biol Med. 2015 May; 60:74-85.
Score: 0.129
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Dundar MM, Badve S, Bilgin G, Raykar V, Jain R, Sertel O, Gurcan MN. Computerized classification of intraductal breast lesions using histopathological images. IEEE Trans Biomed Eng. 2011 Jul; 58(7):1977-84.
Score: 0.097
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Binol H, Niazi MKK, Essig G, Shah J, Mattingly JK, Harris MS, Elmaraghy C, Teknos T, Taj-Schaal N, Yu L, Gurcan MN, Moberly AC. Digital Otoscopy Videos Versus Composite Images: A Reader Study to Compare the Accuracy of ENT Physicians. Laryngoscope. 2021 05; 131(5):E1668-E1676.
Score: 0.048