相关实验视频

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

3.3K

图像处理技术对基于深度学习的椎成长分类准确性的影响

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
概括

No abstract available in PubMed .

关键词:
宫脊椎形态深度学习图像识别

相关概念视频

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...
499