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Updated: Sep 8, 2025

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

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ディープラーニングベースのオートエンコーダーによる近視眼における緑内障の検出

Christopher Bowd1, Akram Belghith1, Mark Christopher1

  • 1Hamilton Glaucoma Center and Division of Ophthalmology Informatics and Data Science, Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California (UC) San Diego, La Jolla, CA, United States.

Frontiers in ophthalmology
|August 20, 2025
PubMed
まとめ

ダブル・オートエンコーダー・ディープ・ラーニング・モデルは,光学コヘランス・トモグラフィー (OCT) のテクスチャ画像を用いて近視眼における緑内障を正確に検出しました. この高度なモデルは 伝統的な方法を上回り グラウコマの診断に 有望なツールを提供しました

キーワード:
人工知能分類するディープラーニング診断するグラウコマ近視光学コヘレンストモグラフィー

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