Left Atrial and Scar Quantification and Segmentation: First Challenge, LAScarQS • EUR 74,19 (2024)

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Vendeur: the_nile ✉️ (1.213.125) 98.2%, Lieu où se trouve: Melbourne, AU, Lieu de livraison: WORLDWIDE, Numéro de l'objet: 134983011569 Left Atrial and Scar Quantification and Segmentation: First Challenge, LAScarQS . The Nile on eBay Left Atrial and Scar Quantification and Segmentation by Xiahai Zhuang, Lei Li, Sihan Wang, Fuping Wu This book constitutes the First Left Atrial and Scar Quantification and Segmentation Challenge, LAScarQS 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022.The 15 papers presented in this volume were carefully reviewed and selected form numerous submissions. The aim of the challenge is not only benchmarking various LA scar segmentation algorithms, but also covering the topic of general cardiac image segmentation, quantification, joint optimization, and model generalization, and raising discussions for further technical development and clinical deployment. FORMAT Paperback CONDITION Brand New Table of Contents LASSNet: A four steps deep neural network for Left Atrial Segmentation and Scar Quantification.- Multi-Depth Boundary-Aware Left Atrial Scar Segmentation Network.- Self Pre-training with Single-scale Adapter for Left Atrial Segmentation.- UGformer for Robust Left Atrium and Scar Segmentation Across Scanners.- Automatically Segmenting the Left Atrium and Scars from LGE-MRIs Using a boundary-focused nnU-Net.- Two Stage of Histogram Matching Augmentation for Domain Generalization : Application to Left Atrial Segmentation .- Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-based Processing.- LA-HRNet: High-resolution network for automatic left atrial segmentation in multi-center LEG MRI .- Edge-enhanced Features Guided Joint Segmentation and Quantification of Left Atrium and Scars in LGE MRI Images.- TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium.- Deep U-Net architecture with curriculum learning for leftatrial segmentation.- Cross-domain Segmentation of Left Atrium Based on Multi-scale Decision Level Fusion.- Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation.- Automated segmentation of the left atrium and scar using deep convolutional neural networks.- Automatic Semi-Supervised Left Atrial Segmentation using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge. Details ISBN3031317777 Author Fuping Wu Publisher Springer International Publishing AG Series Lecture Notes in Computer Science Year 2023 Edition 1st ISBN-13 9783031317774 Format Paperback Imprint Springer International Publishing AG Subtitle First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings Place of Publication Cham Country of Publication Switzerland Edited by Fuping Wu Pages 164 Edition Description 1st ed. 2023 Publication Date 2023-05-05 DEWEY 616.120754 Series Number 13586 Illustrations 72 Illustrations, color; 11 Illustrations, black and white; X, 164 p. 83 illus., 72 illus. in color. Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNileItemID:142133848;

• Condition: Neuf
• Format: Paperback
• ISBN-13: 9783031317774
• Author: Xiahai Zhuang, Lei Li, Sihan Wang, Fuping Wu
• Book Title: Left Atrial and Scar Quantification and Segmentation

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