Intrapartum Ultrasound: Miccai 2025 Grand Challenge, Iugc 2025, Held in Conjunction with Miccai 2025, Daejeon, South Korea, September 23, 2025, Procee
暫譯: 產程超音波:2025年MICCAI大挑戰,與2025年IUGC共同舉辦,韓國大田,2025年9月23日,會議紀錄

Bai, Jieyun, Huang, Yuxin, Khobo, Isaac

  • 出版商: Springer
  • 出版日期: 2026-01-03
  • 售價: $2,470
  • 貴賓價: 9.5$2,347
  • 語言: 英文
  • 頁數: 120
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3032116155
  • ISBN-13: 9783032116154
  • 相關分類: DeepLearning
  • 海外代購書籍(需單獨結帳)

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商品描述

This book constitutes the proceedings of the MICCAI 2025 Grand Challenge on Intrapartum Ultrasound, IUGC 2025, which was held in conjunction with MICCAI 2025, in Daejeon, South Korea, on September 23, 2025.

The 9 full papers 1 short paper and presented in this volume were carefully reviewed and selected from 20 submissions.

They are grouped into the following topics: Top-performing solutions explored semi-supervised frameworks; Self-supervised pretraining; Transformer-based backbones; Adversarial learning; Pseudo-labeling strategies.

商品描述(中文翻譯)

本書為2025年MICCAI大挑戰(Intrapartum Ultrasound, IUGC 2025)的會議紀錄,該活動於2025年9月23日在南韓大田舉行,與MICCAI 2025同時舉辦。

本卷收錄的9篇完整論文和1篇短文經過仔細審查和選擇,來自20篇投稿。

這些論文被分為以下主題:表現最佳的解決方案探討半監督框架;自我監督預訓練;基於Transformer的骨幹;對抗學習;偽標籤策略。

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