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Updated: Feb 14, 2026

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

Published on: November 30, 2022

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セグメンテーション・ガイデッド・プリプロセッシングは,ディープ・ラーニングの診断精度とアメロブラストーマとコーン・ビーム・CT画像におけるオドントジェニック・ケラトシストの信頼性を向上させる - A 予備研究

Xinyue Zhang1, Yuxuan Yang2, Chen Zhong2

  • 1Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, No. 22, Zhongguancun South Avenue, Haidian District, Beijing 100081, China.

Diagnostics (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

セグメンテーション・ガイデッド・プリプロセッシングは,アメロブラストーマとオドントゲン系ケラトシストを区別するためのディープラーニングを改善します. このアプローチは,コンピュータ支援のの病変診断における診断の正確性と解釈性を高めます.

キーワード:
アメロブラストーマ (Ameloblastoma) とはコーンビームCT CT説明可能なAI AI医療画像のプリプロセッシングオドントジェニックケラトシストセグメンテーションセグメンテーション セグメンテーションセグメンテーション

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