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Updated: May 21, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

VHUCS-Netを使用して突起検知ネットワークを備えた高度な腎臓質量セグメンテーション.

J Jenifa Sharon1, L Jani Anbarasi1

  • 1School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India.

Frontiers in artificial intelligence
|February 20, 2026
PubMed
まとめ

新しいVHUCS-Netアーキテクチャは,腎臓の構造と質量を正確にセグメント化し,腎臓疾患の診断効率を改善します. このAIモデルは,正確で解釈可能な医療画像セグメンテーションを通じて,臨床意思決定を強化します.

キーワード:
異常検出 異常検出 異常検出コンピューター・アシスタント・診断ハイブリッドディープラーニング腎臓の質量セグメンテーション セグメンテーション突起検知ネットワークセマンティックセグメンテーションセグメンテーショントランスフォーマー強化U-Netモデルビジョントランスフォーマー ビジョントランスフォーマー

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Internal Anatomy of the Kidney01:12

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The outermost region of the kidney is the...
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