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Ophthalmic Medical Image Analysis

6th International Workshop, OMIA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, Proceedings

  • Conference proceedings
  • © 2019

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Editors:
  1. Huazhu Fu

    1. Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates

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  2. Mona K. Garvin

    1. University of Iowa, Iowa City, USA

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  3. Tom MacGillivray

    1. University of Edinburgh, Edinburgh, UK

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  4. Yanwu Xu

    1. Baidu, Inc., Beijing, China

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  5. Yalin Zheng

    1. The University of Liverpool, Liverpool, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11855)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: OMIA 2019.

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About this book

This book constitutes the refereed proceedings of the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.

The 22 full papers (out of 36 submissions) presented at OMIA 2019 were carefully reviewed and selected. The papers cover various topics in the field of ophthalmic image analysis.

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Table of contents (22 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Dictionary Learning Informed Deep Neural Network with Application to OCT Images

    • Joshua Bridge, Simon P. Harding, Yitian Zhao, Yalin Zheng
    Pages 1-8

  3. Structure-Aware Noise Reduction Generative Adversarial Network for Optical Coherence Tomography Image

    • Yan Guo, Kang Wang, Suhui Yang, Yue Wang, Peng Gao, Guotong Xie et al.
    Pages 9-17

  4. Region-Based Segmentation of Capillary Density in Optical Coherence Tomography Angiography

    • Wenxiang Deng, Michelle R. Tamplin, Isabella M. Grumbach, Randy H. Kardon, Mona K. Garvin
    Pages 18-25

  5. An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans

    • José Ignacio Orlando, Anna Breger, Hrvoje Bogunović, Sophie Riedl, Bianca S. Gerendas, Martin Ehler et al.
    Pages 26-34

  6. Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning

    • Dominik Hofer, José Ignacio Orlando, Philipp Seeböck, Georgios Mylonas, Felix Goldbach, Amir Sadeghipour et al.
    Pages 35-42

  7. Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries

    • Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao et al.
    Pages 43-51

  8. 3D-CNN for Glaucoma Detection Using Optical Coherence Tomography

    • Yasmeen George, Bhavna Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel Schuman, Rahil Garnavi
    Pages 52-59

  9. Semi-supervised Adversarial Learning for Diabetic Retinopathy Screening

    • Sijie Liu, Jingmin Xin, Jiayi Wu, Peiwen Shi
    Pages 60-68

  10. Shape Decomposition of Foveal Pit Morphology Using Scan Geometry Corrected OCT

    • Min Chen, James C. Gee, Jessica I. W. Morgan, Geoffrey K. Aguirre
    Pages 69-76

  11. U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography

    • Rhona Asgari, Sebastian Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunović
    Pages 77-85

  12. Deriving Visual Cues from Deep Learning to Achieve Subpixel Cell Segmentation in Adaptive Optics Retinal Images

    • Jianfei Liu, Christine Shen, Tao Liu, Nancy Aguilera, Johnny Tam
    Pages 86-94

  13. Robust Optic Disc Localization by Large Scale Learning

    • Shilu Jiang, Zhiyuan Chen, Annan Li, Yunhong Wang
    Pages 95-103

  14. The Channel Attention Based Context Encoder Network for Inner Limiting Membrane Detection

    • Hao Qiu, Zaiwang Gu, Lei Mou, Xiaoqian Mao, Liyang Fang, Yitian Zhao et al.
    Pages 104-111

  15. Fundus Image Based Retinal Vessel Segmentation Utilizing a Fast and Accurate Fully Convolutional Network

    • Junyan Lyu, Pujin Cheng, Xiaoying Tang
    Pages 112-120

  16. Network Pruning for OCT Image Classification

    • Bing Yang, Yi Zhang, Jun Cheng, Jin Zhang, Lei Mou, Huaying Hao et al.
    Pages 121-129

  17. An Improved MPB-CNN Segmentation Method for Edema Area and Neurosensory Retinal Detachment in SD-OCT Images

    • Jian Fang, Yuhan Zhang, Keren Xie, Songtao Yuan, Qiang Chen
    Pages 130-138

  18. Encoder-Decoder Attention Network for Lesion Segmentation of Diabetic Retinopathy

    • Shuanglang Feng, Weifang Zhu, Heming Zhao, Fei Shi, Zuoyong Li, Xinjian Chen
    Pages 139-147

  19. Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation

    • Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel Shu Wei Ting, Yong Liu, Rick Siow Mong Goh
    Pages 148-155

  20. Fovea Localization in Fundus Photographs by Faster R-CNN with Physiological Prior

    • Jun Wu, Jiapei Wang, Jie Xu, Yiting Wang, Kaiwei Wang, Zongjiang Shang et al.
    Pages 156-164
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Other volumes

  1. Ophthalmic Medical Image Analysis

Editors and Affiliations

  • Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates

    Huazhu Fu

  • University of Iowa, Iowa City, USA

    Mona K. Garvin

  • University of Edinburgh, Edinburgh, UK

    Tom MacGillivray

  • Baidu, Inc., Beijing, China

    Yanwu Xu

  • The University of Liverpool, Liverpool, UK

    Yalin Zheng

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