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A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation
Primary angle closure glaucoma (PACG) is the leading cause of irreversib...
07/20/2020 ∙ by Munan Ning, et al. ∙
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Deep Image Clustering with Category-Style Representation
Deep clustering which adopts deep neural networks to obtain optimal repr...
07/20/2020 ∙ by Junjie Zhao, et al. ∙
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Quality Control of Neuron Reconstruction Based on Deep Learning
Neuron reconstruction is essential to generate exquisite neuron connecti...
03/19/2020 ∙ by Donghuan Lu, et al. ∙
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Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence
Optical coherence tomography (OCT) is a non-invasive imaging technology ...
12/07/2019 ∙ by Donghuan Lu, et al. ∙
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Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging
Fluorodeoxyglucose positron emission tomography (FDG-PET) imaging based ...
11/02/2017 ∙ by Karteek Popuri, et al. ∙
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Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images
Alzheimer's Disease (AD) is a progressive neurodegenerative disease. Amn...
10/13/2017 ∙ by Donghuan Lu, et al. ∙
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Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network
As a non-invasive imaging modality, optical coherence tomography (OCT) c...
10/13/2017 ∙ by Donghuan Lu, et al. ∙
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