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Open Access UCL Research: Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing https://t.co/c4rvEn9O3G
Left Atrial and Scar Quantification and Segmentation
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 LASSNet: A Four Steps Deep Neural Network for Left Atrial Segmentation and Scar Quantification
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Altmetric BadgeChapter 2 Multi-depth Boundary-Aware Left Atrial Scar Segmentation Network
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Altmetric BadgeChapter 3 Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation
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Altmetric BadgeChapter 4 UGformer for Robust Left Atrium and Scar Segmentation Across Scanners
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Altmetric BadgeChapter 5 Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-Focused nnU-Net
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Altmetric BadgeChapter 6 Two Stage of Histogram Matching Augmentation for Domain Generalization: Application to Left Atrial Segmentation
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Altmetric BadgeChapter 7 Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing
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Altmetric BadgeChapter 8 LA-HRNet: High-Resolution Network for Automatic Left Atrial Segmentation in Multi-center LEG MRI
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Altmetric BadgeChapter 9 Edge-Enhanced Feature Guided Joint Segmentation of Left Atrial and Scars in LGE MRI Images
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Altmetric BadgeChapter 10 TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium
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Altmetric BadgeChapter 11 Deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation
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Altmetric BadgeChapter 12 Cross-Domain Segmentation of Left Atrium Based on Multi-scale Decision Level Fusion
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Altmetric BadgeChapter 13 Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation
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Altmetric BadgeChapter 14 Automated Segmentation of the Left Atrium and Scar Using Deep Convolutional Neural Networks
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Altmetric BadgeChapter 15 Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge