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Ophthalmic Medical Image Analysis: 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings 2024 ed. [Minkštas viršelis]

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  • Formatas: Paperback / softback, 168 pages, aukštis x plotis: 235x155 mm, 57 Illustrations, color; 5 Illustrations, black and white; X, 168 p. 62 illus., 57 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 15188
  • Išleidimo metai: 10-Oct-2024
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031731182
  • ISBN-13: 9783031731181
Kitos knygos pagal šią temą:
Ophthalmic Medical Image Analysis: 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings 2024 ed.Didesnis paveikslėlis
  • Formatas: Paperback / softback, 168 pages, aukštis x plotis: 235x155 mm, 57 Illustrations, color; 5 Illustrations, black and white; X, 168 p. 62 illus., 57 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 15188
  • Išleidimo metai: 10-Oct-2024
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031731182
  • ISBN-13: 9783031731181
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783031731181.html
Raktažodžiai:
This book constitutes the refereed proceedings of the 11th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2024, held in conjunction with the 27th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024.





The 16 papers presented in this book were carefully reviewed and selected from 31 submissions. The papers cover various topics such as computer-aided detection and diagnosis of disease; image analysis of novel ophthalmic imaging modalities; multimodal ophthalmic image analysis; ophthalmic image atlases; ophthalmic image analysis in animals; registration of ophthalmic images, including multimodal, segmentation of structures (e.g., vasculature, lesions, landmarks), combined analysis of images of the eye and other organs; validation; and/or crowd sourcing.
Selective Functional Connectivity between Ocular Dominance Columns in
the Primary Visual Cortex.- ETSCL: An Evidence Theory-Based Supervised
Contrastive Learning Framework for Multi-modal Glaucoma Grading.- VNR-AV:
Structural Post-processing for Retinal Arteries and Veins Segmentation.-
Wavelet Deep Learning Network for Objective Retinal Functional Estimation
from Multimodal Retinal Imaging.- Inter-Frame Sclera Vessel Rotation Tracking
for Toric Intraocular Lens Implantation Navigation.- Data Heterogeneity-aware
Personalized Federated Learning for Diagnosis.- MM-UNet: A Mixed MLP
Architecture for Improved Ophthalmic Image Segmentation.- Coral-CVDs: A
consistent ordinal regression model for cardiovascular diseases grading.-
Affordable Deep Learning for Diagnosing Inherited and Common Retinal Diseases
via Color Fundus Photography.- Comparative Analysis of Data Augmentation for
Retinal OCT Biomarker Segmentation.- Advanced Diabetic Retinopathy
Classification: Integrating Pathological Indicators Segmentation and
Morphological Feature Analysis.- Masked Image Modelling for Retinal OCT
Understanding.- A Dual-Stream Network for Langerhans Cells Segmentation in
CCM Images.- Formula-Driven Data Augmentation and Partial Retinal Layer
Copying for Retinal Layer Segmentation.- Enhancing Community Vision
Screening: AI-Driven Retinal Photography for Early Disease Detection and
Patient Trust.- Enhancing Large Foundation Models to Identify Fundus Diseases
Based on Contrastive Enhanced Low-Rank Adaptation Prompt.