Ophthalmic Medical Image Analysis: 6th International Workshop, OMIA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, Proceedings
Book information
Description
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. Front Matter ....Pages i-xi Dictionary Learning Informed Deep Neural Network with Application to OCT Images (Joshua Bridge, Simon P. Harding, Yitian Zhao, Yalin Zheng)....Pages 1-8 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 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 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 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 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 3D-CNN for Glaucoma Detection Using Optical Coherence Tomography (Yasmeen George, Bhavna Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel Schuman, Rahil Garnavi)....Pages 52-59 Semi-supervised Adversarial Learning for Diabetic Retinopathy Screening (Sijie Liu, Jingmin Xin, Jiayi Wu, Peiwen Shi)....Pages 60-68 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 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 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 Robust Optic Disc Localization by Large Scale Learning (Shilu Jiang, Zhiyuan Chen, Annan Li, Yunhong Wang)....Pages 95-103 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 Fundus Image Based Retinal Vessel Segmentation Utilizing a Fast and Accurate Fully Convolutional Network (Junyan Lyu, Pujin Cheng, Xiaoying Tang)....Pages 112-120 Network Pruning for OCT Image Classification (Bing Yang, Yi Zhang, Jun Cheng, Jin Zhang, Lei Mou, Huaying Hao et al.)....Pages 121-129 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 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 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 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 Aggressive Posterior Retinopathy of Prematurity Automated Diagnosis via a Deep Convolutional Network (Rugang Zhang, Jinfeng Zhao, Guozhen Chen, Tianfu Wang, Guoming Zhang, Baiying Lei)....Pages 165-172 Automated Stage Analysis of Retinopathy of Prematurity Using Joint Segmentation and Multi-instance Learning (Guozhen Chen, Jinfeng Zhao, Rugang Zhang, Tianfu Wang, Guoming Zhang, Baiying Lei)....Pages 173-181 Retinopathy Diagnosis Using Semi-supervised Multi-channel Generative Adversarial Network (Yingpeng Xie, Qiwei Wan, Guozhen Chen, Yanwu Xu, Baiying Lei)....Pages 182-190 Back Matter ....Pages 191-192
Similar books
Modelling Human Motion: From Human Perception to Robot Design
2020 · PDF
Biomedical Image Registration: 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1–2, 2020, Proceedings
2020 · PDF
Combinatorial Image Analysis: 20th International Workshop, IWCIA 2020, Novi Sad, Serbia, July 16–18, 2020, Proceedings
2020 · PDF
Image Analysis and Recognition: 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24–26, 2020, Proceedings, Part I
2020 · PDF
Image and Signal Processing: 9th International Conference, ICISP 2020, Marrakesh, Morocco, June 4–6, 2020, Proceedings
2020 · PDF
Advances in Photometric 3D-Reconstruction
2020 · PDF
Medical Image Understanding and Analysis: 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings
2020 · PDF
The Language of Images: The Forms and the Forces
2020 · PDF