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{ "item_title" : "Uncertainty for Safe Utilization of Machine Learning in Medical Imaging", "item_author" : [" Carole H. Sudre", "Raghav Mehta", "Cheng Ouyang "], "item_description" : "This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024. The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. They are organized in the following topical sections: annotation uncertainty; clinical implementation of uncertainty modelling and risk management in clinical pipelines; out of distribution and domain shift identification and management; uncertainty modelling and estimation.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/173/157/3031731573_b.jpg", "price_data" : { "retail_price" : "69.99", "online_price" : "69.99", "our_price" : "69.99", "club_price" : "69.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging|Carole H. Sudre

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging : 6th International Workshop, Unsure 2024, Held in Conjunction with Miccai 2024

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Overview

This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024.

The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. They are organized in the following topical sections: annotation uncertainty; clinical implementation of uncertainty modelling and risk management in clinical pipelines; out of distribution and domain shift identification and management; uncertainty modelling and estimation.

This item is Non-Returnable

Details

  • ISBN-13: 9783031731570
  • ISBN-10: 3031731573
  • Publisher: Springer
  • Publish Date: October 2024
  • Dimensions: 9.27 x 6.16 x 0.5 inches
  • Shipping Weight: 0.79 pounds
  • Page Count: 226

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