研究目的
Investigating the therapeutic effects of a specific herbal medicine on a particular disease.
研究成果
This paper presents a novel hybrid and concatenation approach for CAD of glaucoma using DWT and EWT from fundus images. Only green channel image is extracted from fundus images and decomposed using DWT, EWT, DWTEWT and EWTDWT. Seventy seven features have been extracted and fed to SVD. LS-SVM classifier with RBF kernel is used as a classifier. The proposed method is more accurate, fast, and efficient. The results shown here are repeatable and validated with the available data base.
研究不足
The technical and application constraints of the experiments, as well as potential areas for optimization.
1：Experimental Design and Method Selection:
Includes the overall experimental design rationale, the theoretical models or algorithms employed, and detailed procedures of the experimental methods.
2：Sample Selection and Data Sources:
Specifies the samples or datasets used in the experiment, including selection criteria and data acquisition methods.
3：List of Experimental Equipment and Materials:
Enumerates the required instruments, devices, and materials, along with their specifications and intended uses.
4：Experimental Procedures and Operational Workflow:
Provides a step-by-step description of the experimental process, covering equipment setup, data collection techniques, and control of variables during the experiment.
5：Data Analysis Methods:
Explains the approach for analyzing experimental data, including statistical techniques and software tools utilized.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
