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{ "item_title" : "Fast, Low-Resource, Accurate Robust Organ and Pan-Cancer Segmentation", "item_author" : [" Jun Ma", "Bo Wang "], "item_description" : "This book constitutes the proceedings of the MICCAI 2024 Challenge, FLARE 2024, held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, during October 2024. The 20 full papers included in this book were carefully reviewed and selected from 24 submissions. They describe the solutions the participants found for automatic abdominal organ and pan-cancer segmentation using the official training dataset released for this pupose.This challenge focuses on both organ and pan-cancer segmentation, including three subtasks: Subtask 1: Pan-cancer segmentation in CT scansSubtask 2: Abdominal CT organ segmentation on laptopSubtask 3: Unsupervised domain adaptation for abdominal organ segmentation in MRI Scans", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/196/201/303196201X_b.jpg", "price_data" : { "retail_price" : "84.99", "online_price" : "84.99", "our_price" : "84.99", "club_price" : "84.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Fast, Low-Resource, Accurate Robust Organ and Pan-Cancer Segmentation|Jun Ma

Fast, Low-Resource, Accurate Robust Organ and Pan-Cancer Segmentation : Miccai Challenge, Flare 2024, Held in Conjunction with Miccai 2024, Marrakesh,

by Jun Ma and Bo Wang
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Overview

This book constitutes the proceedings of the MICCAI 2024 Challenge, FLARE 2024, held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, during October 2024. The 20 full papers included in this book were carefully reviewed and selected from 24 submissions. They describe the solutions the participants found for automatic abdominal organ and pan-cancer segmentation using the official training dataset released for this pupose.This challenge focuses on both organ and pan-cancer segmentation, including three subtasks: Subtask 1: Pan-cancer segmentation in CT scans
Subtask 2: Abdominal CT organ segmentation on laptop
Subtask 3: Unsupervised domain adaptation for abdominal organ segmentation in MRI Scans

This item is Non-Returnable

Details

  • ISBN-13: 9783031962011
  • ISBN-10: 303196201X
  • Publisher: Springer
  • Publish Date: July 2025
  • Dimensions: 9.21 x 6.14 x 0.6 inches
  • Shipping Weight: 0.89 pounds
  • Page Count: 270

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