Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks

•Two approaches to detect retinal layers in rat OCT images are presented.•One approach is based on classical image processing and the other on deep learning.•Both methods significantly outperform a commercial image segmentation software.•Deep-learning-based method obtains promising results on unseen...

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Veröffentlicht in:	Computer methods and programs in biomedicine Jg. 198; S. 105788
Hauptverfasser:	Morales, Sandra, Colomer, Adrián, Mossi, José M., del Amor, Rocío, Woldbye, David, Klemp, Kristian, Larsen, Michael, Naranjo, Valery
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Ireland Elsevier B.V 01.01.2021
Schlagworte:	Animals Convolutional neural networks Intensity profile Layer segmentation Neural Networks, Computer Optical coherence tomography Rat OCT Rats Retina - diagnostic imaging Rodent OCT Rodentia Software Tomography, Optical Coherence Rodent OCT Intensity profile Rat OCT Optical coherence tomography Convolutional neural networks Layer segmentation
ISSN:	0169-2607, 1872-7565, 1872-7565
Online-Zugang:	Volltext
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