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相关概念视频

Classification of Bones01:18

Classification of Bones

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The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
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Force Classification01:22

Force Classification

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Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
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A Clustering-Based Grey Modeling Approach for Tacrolimus Concentration Prediction Under Sparse Therapeutic Drug Monitoring.

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VG161 oncolytic virus remodels the tumor microenvironment by expanding CD3<sup>+</sup> macrophages and enhancing antitumor immunity.

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Clinically oriented deep learning system integrating linear and morphological assessment for external orthodontic root resorption.

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Compact neural network algorithm for electrocardiogram classification.

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相关实验视频

Updated: May 3, 2026

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
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Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

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基于DC-YOLOv5的部脊椎成熟的目标检测算法.

Man Jiang1,2,3, Yun Hu1,2,3, Jianxia Li1,2,3

  • 1Department of Stomatological Hospital, Chongqing Medical University, No.426 Songshibei Road, Yubei District, Chongqing, 401147, China.

Physical and engineering sciences in medicine
|August 12, 2024
PubMed
概括
此摘要是机器生成的。

一个新的DC-YOLOv5模型自动化了从放射图片的椎脊椎成熟 (CVM) 阶段. 这种人工智能方法提高了正义牙科和骨科治疗规划的准确性和速度.

关键词:
骨头年龄 骨头年龄头脑测量放射图片 头脑测量放射图片评估椎脊椎成熟度的评估目标检测 目标检测这是YOLOv5的.

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Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia
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Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia

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Precision Measurements and Parametric Models of Vertebral Endplates
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Precision Measurements and Parametric Models of Vertebral Endplates

Published on: September 17, 2019

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相关实验视频

Last Updated: May 3, 2026

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
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Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

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Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia
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科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 矯正牙科 矯正牙科是一種矯正牙科.

背景情况:

  • 椎脊椎成熟 (CVM) 对于定时进行正统牙科和骨科治疗至关重要.
  • 准确的CVM分期有助于有效的治疗计划.
  • 目前的方法可能缺乏完全的自动化和最佳准确性.

研究的目的:

  • 开发一个完全自动化的目标检测模型,用于CVM分阶段.
  • 通过深度学习提高CVM识别的准确性和效率.
  • 引入一个优化的YOLOv5模型,用于分析头脑测量放射图.

主要方法:

  • 使用了一套数据集,其中包括1800张标记的头脑测量放射图.
  • 开发了DC-YOLOv5模型,优化了YOLOv5与Wise-IOU和Res-dcn-head的优化.
  • 整合了卷积块注意模块 (CBAM) 以改善功能聚焦.
  • 使用F1分数,mAP,精度和回忆来评估性能.

主要成果:

  • DC-YOLOv5实现了高性能指标:F1得分为0.993,mAP0.5为0.994,mAP0.5:0.95为0.943. 这两项指标均为高性能指标.
  • 与其他四种模型相比,该模型表现出更快的收,更高的准确性和更大的稳定性.
  • 梯度类激活映射 (CAM) 用于分析预测区域.

结论:

  • 该DC-YOLOv5算法提供高度准确和强大的CVM识别.
  • 这种自动化方法支持更快,更精确的诊断在牙矯正.
  • 该模型为医学成像和临床决策的进步做出了积极贡献.