… This study transfers the procedure of killer whale image identification into a fully automated,
multi-stage, deep learning framework, entitled FIN-PRINT. It is composed of multiple …

… into a single and compact learning body, which can … Deep learning technology has good
performance for fish classification (Table 1), which is mainly due to the fact that deep learning …

… identification was automated by developing deep learning models, setting up the optimal
parameters for the deployment of the deep learning models, and visualizing the deep learning …

… However, this study utilized a large dataset for deep learning, using a previously validated
semi-automated multi-layer retinal layer segmentation approach. The model performance …

… a novel deep learning-based system that can implement automated categorization of four …
Moreover, while this study offers a promising framework for an automated identification of …

… Because the clinical and biological bases for these biomarkers are still under investigation,
there are relatively few examples with which we can develop a deep learning approach. …

… Deep learning is revolutionizing the already rapidly developing field of computer vision. The
convolutional neural network (CNN) is a state-of-the-art deep learning … and identification of …

… Therefore, we proposed a hybrid model by integrating deep learning models and SVM for
4-class cataract classification. The transfer learning-based models (AlexNet, VGGNet, ResNet) …

… describe a methodology for identifying and quantifying TBI-related abnormalities. The
question we wanted to answer was whether an automated identification and quantification of TBI …

… Here, we describe our application BearID, which uses deep learning and facial images to
detect and identify individual brown bears Ursus arctos, a species that lacks consistent, unique …