脳腫瘍の磁気共鳴画像における脳腫瘍セグメンテーションのためのモデルアンサンブル

Daniel Capellán-Martín^1,2, Zhifan Jiang¹, Abhijeet Parida¹

¹Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC 20010, USA.

Brain tumor segmentation, and cross-modality domain adaptation for medical image segmentation : MICCAI challenges, BraTS 2023 and CrossMoDA 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024 : proc...

|December 24, 2025

まとめ

本研究では、MRIスキャンから小児脳腫瘍、髄膜腫、脳転移をセグメンテーションするための深層学習アンサンブルを紹介します。この手法はBraTSチャレンジで上位ランクを獲得し、患者ケア向上のために腫瘍セグメンテーション精度を向上させました。

キーワード:

脳腫瘍セグメンテーション深層学習 MRI 髄膜腫転移小児脳腫瘍

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