関連する実験動画

Updated: May 5, 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

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画像処理技術による深層学習による頸椎成熟の分類精度への影響

Naoki Yamada1, Yukihiro Iida2, Wakako Tome3

  • 1Department of Orthodontics, School of Dentistry, Asahi University, 1851, Mizuho, Gifu, 501-0296, Japan. yamada530@dent.asahi-u.ac.jp.

Oral radiology
|January 4, 2026
PubMed
まとめ

No abstract available in PubMed .

キーワード:
子宮頸椎の形状ディープラーニングイメージ認識

関連する概念動画

Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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