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{ "item_title" : "Uncertainty for Safe Utilization of Machine Learning in Medical Imaging", "item_author" : [" Carole H. Sudre", "Mobarak I. Hoque", "Raghav Mehta "], "item_description" : "This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025.The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Risk management, uncertainty interpretation and visualisation; domain shift and out-of-distribution management; uncertainty calibration; and uncertainty modelling and estimation, Bayesian deep learning.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/206/592/3032065925_b.jpg", "price_data" : { "retail_price" : "64.99", "online_price" : "64.99", "our_price" : "64.99", "club_price" : "64.99", "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 : 7th International Workshop, Unsure 2025, Held in Conjunction with Miccai 2025

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Overview

This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025.

The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Risk management, uncertainty interpretation and visualisation; domain shift and out-of-distribution management; uncertainty calibration; and uncertainty modelling and estimation, Bayesian deep learning.

This item is Non-Returnable

Details

  • ISBN-13: 9783032065926
  • ISBN-10: 3032065925
  • Publisher: Springer
  • Publish Date: September 2025
  • Dimensions: 9.21 x 6.14 x 0.55 inches
  • Shipping Weight: 0.82 pounds
  • Page Count: 246

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