Medical Image Computing and Computer Assisted Intervention - MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 - October 1,, de Bruijne Marleen, Cattin Philippe C., Cotin Stйphane
Описание: Adjacent Scale Fusion and Corneal Position Embedding for Corneal Ulcer Segmentation.- Longitudinal detection of diabetic retinopathy early severity grade changes using deep learning.- Intra-operative OCT (iOCT) Image Quality Enhancement: A Super-Resolution Approach using High Quality iOCT 3D Scans.- Diabetic Retinopathy Detection based on Weakly Supervised Object Localization and Knowledge Driven Attribute Mining.- FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Images.- CDLRS: Collaborative Deep Learning Model with Joint Regression and Segmentation for Automatic Fovea Localization.- U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina.- Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans.- Guided Adversarial Adaptation Network for Retinal and Choroidal Layer Segmentation.- Juvenile Refractive Power Prediction based on Corneal Curvature and Axial Length via a Domain Knowledge Embedding Network.- Peripapillary Atrophy Segmentation with Boundary Guidance.- Are cardiovascular risk scores from genome and retinal image complementary? A deep learning investigation in a diabetic cohort.- Dual-branch Attention Network and Atrous Spatial Pyramid Pooling for Diabetic Retinopathy Classification Using Ultra-Widefield Images.- Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images.- Multi-Modality Images Analysis: A Baseline for Glaucoma Grading via Deep Learning.- Impact of data augmentation on retinal OCT image segmentation for diabetic macular edema analysis.- Representation and Reconstruction of Image-Based Structural Patterns of Glaucomatous Defects Using Only Two Latent Variables from a Variational Autoencoder.- Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification.- Attention Guided Slit Lamp Image Quality Assessment.- Robust Retinal Vessel Segmentation from a Data Augmentation Perspective.
Описание: This book constitutes the refereed proceedings of the 6th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*The 14 full papers presented were carefully reviewed and selected from 18 submissions.
Описание: This book constitutes the proceedings of the Second International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2021, held on September 27, 2021, in conjunction with MICCAI 2021, the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention.
Описание: This book constitutes the Second Diabetic Foot Ulcers Grand Challenge, DFUC 2021, which was held on September 27, 2021, in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually due to the COVID-19 pandemic. The 6 full papers included in this book were carefully reviewed and selected from 14 submissions. There is also an overview paper on the challenge and datasets and one summary paper of DFUC 2021.
Описание: This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2021, held on September 27, 2021, in conjunction with MICCAI 2021. The 17 papers presented in this book were carefully reviewed and selected from 27 submissions.
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