Del 13586 i serien Lecture Notes in Computer Science

Left Atrial and Scar Quantification and Segmentation

First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Häftad, Engelska, 2023

AvXiahai Zhuang,Lei Li,Sihan Wang,Fuping Wu

819 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2023-05-05
Mått155 x 235 x 10 mm
Vikt277 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor164
Upplaga23001
FörlagSpringer International Publishing AG
ISBN9783031317774

Tillhör följande kategorier

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.

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Del 13586 i serien Lecture Notes in Computer Science

Left Atrial and Scar Quantification and Segmentation

First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Häftad, Engelska, 2023

AvXiahai Zhuang,Lei Li,Sihan Wang,Fuping Wu

819 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Produktinformation

Utgivningsdatum2023-05-05
Mått155 x 235 x 10 mm
Vikt277 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor164
Upplaga23001
FörlagSpringer International Publishing AG
ISBN9783031317774

Tillhör följande kategorier

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.

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Del 12009

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges

Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair Young, Tommaso Mansi, Avan Suinesiaputra

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Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images

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Xiahai Zhuang, Wangbin Ding, Yuanye Liu, Yingliang Ma, Jichao Zhao, Bomin Wang

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Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges

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Left Atrial and Scar Quantification and Segmentation

First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Produktinformation

Tillhör följande kategorier

Innehållsförteckning

Mer från samma författare

Mer från samma serie

Du kanske också är intresserad av

Left Atrial and Scar Quantification and Segmentation

First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Produktinformation

Tillhör följande kategorier

Innehållsförteckning

Mer från samma författare

Mer från samma serie

Du kanske också är intresserad av

Left Atrial and Scar Quantification and Segmentation

First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Produktinformation

Tillhör följande kategorier

Innehållsförteckning

Mer från samma författare

Mer från samma serie

Du kanske också är intresserad av