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{ "item_title" : "Multimodal Learning for Clinical Decision Support", "item_author" : [" Tanveer Syeda-Mahmood", "Xiang Li", "Anant Madabhushi "], "item_description" : "This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic.The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/089/846/3030898466_b.jpg", "price_data" : { "retail_price" : "59.99", "online_price" : "59.99", "our_price" : "59.99", "club_price" : "59.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multimodal Learning for Clinical Decision Support|Tanveer Syeda-Mahmood

Multimodal Learning for Clinical Decision Support : 11th International Workshop, ML-CDs 2021, Held in Conjunction with Miccai 2021, Strasbourg, France,

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Overview

This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic.

The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.

This item is Non-Returnable

Details

  • ISBN-13: 9783030898465
  • ISBN-10: 3030898466
  • Publisher: Springer
  • Publish Date: October 2021
  • Dimensions: 9.21 x 6.14 x 0.27 inches
  • Shipping Weight: 0.42 pounds
  • Page Count: 117

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