Description

Book Synopsis

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.

Ophthalmic Medical Image Analysis

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    A Paperback by Antony Bhavna

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      Publisher: Springer
      Publication Date: Publication Date: 10/10/2024
      ISBN13: 9783031731181, 978-3031731181
      ISBN10:
      Also in:
      Computing Computer vision

      Description

      Book Synopsis

      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.

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