Ophthalmic Medical Image Analysis

7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

Häftad, Engelska, 2020

Av Huazhu Fu, Mona K. Garvin, Tom MacGillivray, Yanwu Xu, Yalin Zheng, Tom Macgillivray

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This book constitutes the refereed proceedings of the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020.

Produktinformation

Utgivningsdatum2020-11-20
Mått155 x 235 x 13 mm
Vikt353 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor218
FörlagSpringer Nature Switzerland AG
ISBN9783030634186

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Systemvetenskap och AI inom Data och it
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Bio-Inspired Attentive Segmentation of Retinal OCT imaging.- DR detection using Optical Coherence Tomography Angiography (OCTA): a transfer learning approach with robustness analysis.- What is the optimal attribution method for explainable ophthalmic disease classification?.- DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-resolution of Retinal Fundus Images.- Encoder-Decoder Networks for Retinal Vessel Segmentation using Large Multi-Scale Patches.- Retinal Image Quality Assessment via Specific Structures Segmentation.- Cascaded Attention Guided Network for Retinal Vessel Segmentation.- Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography.- Automated Detection of Diabetic Retinopathy From Smartphone Fundus Videos.- Optic Disc, Cup and Fovea Detection from Retinal Images using U-Net++ with EfficientNet Encoder.- Multi-level Light U-Net and Atrous Spatial Pyramid Poolingfor Optic Disc Segmentation on Fundus Image.- An Interactive Approach to Region of Interest Selection in Cytologic Analysis of Uveal Melanoma Based on Unsupervised Clustering.- Retinal OCT Denoising with Pseudo-Multimodal Fusion Network.- Deep-Learning-Based Estimation of 3D Optic-Nerve-Head Shape from 2D Color Fundus Photographs in Cases of Optic Disc Swelling.- Weakly supervised retinal detachment segmentation using deep feature propagation learning in SD-OCT images.- A framework for the discovery of retinal biomarkers in Optical Coherence Tomography Angiography (OCTA).- An Automated Aggressive Posterior Retinopathy of Prematurity Diagnosis System by Squeeze and Excitation Hierarchical Bilinear Pooling Network.- Weakly-Supervised Lesion-aware and Consistency Regularization for Retinitis Pigmentosa Detection from Ultra-widefield Images.- A Conditional Generative Adversarial Network-based Method for Eye Fundus Image Quality Enhancement.- Construction of quantitative indexes for cataract surgery evaluation based on deep learning.- Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification.