1. Articles from Wenjie He

    1-2 of 2
    1. Optimized Deep Convolutional Neural Networks for Identification of Macular Diseases from Optical Coherence Tomography Images

      Optimized Deep Convolutional Neural Networks for Identification of Macular Diseases from Optical Coherence Tomography Images

      Finetuning pre-trained deep neural networks (DNN) delicately designed for large-scale natural images may not be suitable for medical images due to the intrinsic difference between the datasets. We propose a strategy to modify DNNs, which improves their performance on retinal optical coherence tomography (OCT) images. Deep features of pre-trained DNN are high-level features of natural images. These features harm the training of transfer learning. Our strategy is to remove some deep convolutional layers of the state-of-the-art pre-trained networks: GoogLeNet, ResNet and DenseNet. We try to find the optimized deep neural networks on small-scale and large-scale OCT datasets, respectively, in our ...

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    2. Efficient Deep Learning-Based Automated Pathology Identification in Retinal Optical Coherence Tomography Images

      Efficient Deep Learning-Based Automated Pathology Identification in Retinal Optical Coherence Tomography Images

      We present an automatic method based on transfer learning for the identification of dry age-related macular degeneration (AMD) and diabetic macular edema (DME) from retinal optical coherence tomography (OCT) images. The algorithm aims to improve the classification performance of retinal OCT images and shorten the training time. Firstly, we remove the last several layers from the pre-trained Inception V3 model and regard the remaining part as a fixed feature extractor. Then, the features are used as input of a convolutional neural network (CNN) designed to learn the feature space shifts. The experimental results on two different retinal OCT images datasets ...

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    1-2 of 2
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  2. Topics in the News

    1. (2 articles) Tsinghua University
    2. (2 articles) Sun Yat-Sen University
    3. (2 articles) Nanyang Technological University
    4. (2 articles) Linbo Liu
    5. (1 articles) Harvard University
    6. (1 articles) University of Kent
    7. (1 articles) Kyushu University
    8. (1 articles) University of Miami
    9. (1 articles) Adrian G. Podoleanu
    10. (1 articles) Yoshiyasu Minami
    11. (1 articles) Sander R. Dubovy
    12. (1 articles) George M. Dobre
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