基于C2f_DCNv3的轻量级YOLOv8用于基于C2f_DCNv3的舌牙痕迹和裂检测
Chunyang Jin1, Delong Zhang1, Xiyuan Cao2
1Key Laboratory of Instrumentation Science, Dynamic Measurement of Ministry of Education, North University of China, Taiyuan, 030051, Shanxi, China.
Scientific reports
|January 9, 2025
概括
这项研究增强了传统中医 (TCM) 舌头图像分析的YOLOv8模型,改善了裂和牙痕迹的检测. 这种先进的模型实现了临床诊断的更高的准确性和效率.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 传统中国医药 传统中国医药
背景情况:
- 在中国传统医学 (TCM) 中,舌头诊断至关重要.
- 舌头图像的自动分析,以寻找裂和牙痕迹,由于特征的复杂性,提出了挑战.
- 现有的模型需要改进,以实现准确和高效的检测.
研究的目的:
- 开发一个显著增强的YOLOv8模型,用于检测TCM诊断图像中的舌头裂和牙痕迹.
- 为了提高自动化TCM舌头图像分析的准确性和效率.
主要方法:
- 将C2f_DCNv3模块与可变形卷积 (DCN) 集成,以取代原来的C2f模块.
- 整合了Squeeze-and-Excitation (SE) 注意力机制,以优化特征加权.
- 在TCM舌头诊断图像上对增强的YOLOv8模型的评估.
主要成果:
- 改进的YOLOv8模型实现了92.77%的整体平均精度 (mAP).
- 舌头裂检测mAP达到了91.34%,F1得分,精度和回忆得到改善.
- 检测牙痕迹的mAP为94.21%.
- 计算成本 (FLOPS) 降低了大约三分之一,参数更少.
结论:
- 提议的增强型YOLOv8模型在TCM中为检测舌头裂和牙痕迹提供了卓越的性能.
- 该模型为临床TCM诊断应用提供了更加准确,高效和资源友好的解决方案.
- 集成DCN和SE注意力机制显著提高了适应性,并专注于关键的图像特征.
相关概念视频
IR Frequency Region: Fingerprint Region
746
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
746
Reducing Line Loss
143
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
143
Differential Leveling
136
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
136
Boundary Conditions: Lossless Lines
81
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
81
Force Classification
1.1K
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,...
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,...
1.1K
Deconvolution
129
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
129


