在使用深度学习的周周X射线图中开发了周周X射线图索数分类系统
Natdanai Hirata1, Panupong Pudhieng1, Sadanan Sena1
1Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, 50200, Thailand.
Journal of imaging informatics in medicine
|December 13, 2024
概括
深度学习模型使用周周指数 (PAI) 评分准确地分类顶端牙周炎 (AP) 阶段. 将早期阶段 (PAI 1-2) 划分为第一阶段.
科学领域:
- 牙科 牙科是指牙科的专业.
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 围牙指数 (PAI) 评分系统是用X射线图评估顶牙牙周炎 (AP) 的标准.
- 手动PAI评分是耗时的,需要牙科专业知识.
- 深度学习模型在自动化PAI评分方面表现有前途,但在AP早期阶段却存在困难.
研究的目的:
- 使用深度学习开发和比较PAI评分的二进制分类方法.
- 为了评估正常性 (PAI 1与其他) 和健康疾病 (PAI 1-2与其他) 分类方法的有效性.
- 确定最佳的深度学习策略,以准确评估AP.
主要方法:
- 使用了GoogLeNet,AlexNet和ResNet卷积神经网络 (CNN).使用了GoogleNet,AlexNet和ResNet卷积神经网络 (CNN).
- 在2266个周围根区域 (PRA) 上训练模型,来自520个周围放射 (PR).
- 与健康疾病分类 (PAI 1-2=健康,PAI 3-5=患病) 的正常分类 (PAI 1=正常,PAI 2-5=异常) 的比较.
主要成果:
- 正常性分类方法达到75.00%的最大准确率.
- 健康疾病分类方法表现出卓越的性能,最高准确率为83.33%.
- 当PAI分数1和2被分组在一起时,CNN模型显示分类准确度有所提高.
结论:
- 将PAI分数1和2分为"健康"的分组提高了深度学习模型的性能.
- 健康疾病分类方法在自动化PAI评分方面更有效.
- 这些发现支持健康疾病PAI评分方法对AP评估的临床实用性.
相关概念视频
01:30Classification of Signals
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
01:26Classification of Systems-I
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
01:31Classification of Systems-II
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,