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Sayed Haggag, Ahmed Elnakib, Ahmed Sharafeldeen, Mohamed Elsharkawy, Fahmi Khalifa, Rania Kamel Farag, Mohamed A. Mohamed, Harpal Singh Sandhu, Wathiq Mansoor, Ashraf Sewelam and Ayman El-Baz
This paper presents a novel deep learning system for the detection and diagnosis of diabetic retinopathy using optical coherence tomography images.
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Charlotte Stehmar, Marius Gipperich, Markus Kogel-Hollacher, Alfredo Velazquez Iturbide and Robert H. Schmitt
Within additive manufacturing, process stability is still an unsolved challenge. Process instabilities result from the complexity of laser deposition processes and the dependence of the quality of the workpiece on a variety of factors in the process. Bec...
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Daniele Gaudenzi, Tommaso Mori, Salvatore Crugliano, Antonella Grasso, Carlo Frontini, Antonella Carducci, Siddharth Yadav, Roberto Sgrulletta, Emiliano Schena, Marco Coassin and Antonio Di Zazzo
Dry eye disease (DED) is one of the conditions that most commonly leads patients to visit an ophthalmologist. Fast and accurate diagnosis relieves patient discomfort and spares them from long-term effects on the ocular surface. Many tests used in the dia...
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Dmitry N. Ignatenko, Alexey V. Shkirin, Yakov P. Lobachevsky and Sergey V. Gudkov
The review contains a systematization of the main approaches to the practical implementation of Mueller matrix polarimetry and the prospects for its application in biology and agriculture. The most typical optical layouts for measuring the Mueller matrix...
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Daewoon Seong, Changho Lee, Mansik Jeon and Jeehyun Kim
In otology, visualization and vibratory analysis have been crucial to enhance the success of diagnosis and surgical operation. Optical coherence tomography (OCT) has been employed in otology to obtain morphological structure of tissues non-invasively, ow...
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