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Left Atrial and Scar Quantification Segmentation: First Challenge, LAScarQS 2022, Held Conjunction with MICCAI Singapore, September 18, ProceedingsLeft Atrial and Scar Quantification Segmentation: First Challenge, LAScarQS 2022, Held Conjunction with MICCAI Singapore, September 18, Proceedings

Left Atrial and Scar Quantification Segmentation: First Challenge, LAScarQS 2022, Held Conjunction with MICCAI Singapore, September 18, Proceedings

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Current price: $70.99
Original price: $88.68
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Left Atrial and Scar Quantification Segmentation: First Challenge, LAScarQS 2022, Held Conjunction with MICCAI Singapore, September 18, Proceedings

By None

Left Atrial and Scar Quantification Segmentation: First Challenge, LAScarQS 2022, Held Conjunction with MICCAI Singapore, September 18, Proceedings

Current price: $70.99
Original price: $88.68
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Size: Kobo eBook

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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.
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.

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