Parallel deep neural networks for endoscopic OCT image segmentation DAWEI LI| JIMIN WU| YUFAN HE|XINWEN YAO| WU YUAN|DEFU CHEN|HYEON-CHEOL PARK| SHAOYONG YU| JERRY L.PRINCE|XINGDE LI Biomedical Optics Express, Vol. 10, Issue 3, pp. 1126-1135(2019) DOI: https://doi.org/10.1364/BOE.10.001126 This article reports parallel-trained deep neural networks for automated endoscopic OCT image segmentation feasible even with a limited training…

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Capsules for Object Segmentation Rodney LaLonde |Ulas Bagci In the last few years, deep learning-based methods, in particular Convolutional Neural Networks (CNNs), have become the state-of-the-art for various image analysis tasks.  Specifically related to the object segmentation problem, U-Net, Fully Convolutional Networks (FCN) have become the most used models for various medical image segmentation tasks.…

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