Decision Tree Fusion and Improved Fundus Image Classification Algorithm

被引：0
|
作者：
Wang, Xiaofang [1 ]
Qiu, Yanhua [2 ]
Chen, Xin [2 ]
Wu, Jialing [2 ]
Zou, Qianying [1 ]
Mu, Nan [3 ]
机构：
[1] Geely Univ China, Chengdu 641423, Sichuan, Peoples R China
[2] Chengdu Coll Univ Elect Sci & Technol China, Chengdu 611731, Sichuan, Peoples R China
[3] Sichuan Normal Univ, Chengdu 610066, Sichuan, Peoples R China
来源：
GREEN, PERVASIVE, AND CLOUD COMPUTING, GPC 2022 | 2023年 / 13744卷
关键词：
Image classification; Butterworth parameter function; Improved UNet plus; Residual attention mechanism; Decision tree;
D O I：
10.1007/978-3-031-26118-3_3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to improve the effect of glaucoma fundus image classification, a new algorithm based on decision tree and UNet++ was proposed. Firstly, the image is divided into three channels of RGB, and the extracted green channel image is enhanced with the Butterworth parameter function of the fusion power function. Then the improved UNet++ network model is used to extract the texture features of the fundus image, and the residual module is used to enhance the texture features. The results of the experiment show that the average accuracy, the average specificity and the average sensitivity of the improved algorithm increase by 9.2%, 6.4% and 6.5% respectively. The improved algorithm is effective in glaucoma fundus image classification.
引用
收藏
页码：35 / 49
页数：15
相关论文
共 50 条
  • [41] A Statistical Decision Tree Algorithm for Data Stream Classification
    Cazzolato, Mirela Teixeira
    Ribeiro, Marcela Xavier
    Yaguinuma, Cristiane
    Prado Santos, Marilde Terezinha
    ICEIS: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 1, 2013, : 217 - 223
  • [42] Classification decision tree algorithm assisting in diagnosing solitary pulmonary nodule by SPECT/CT fusion imaging
    强永乾
    郭佑民
    金晨望
    刘敏
    杨爱民
    王秋萍
    牛刚
    Academic Journal of Xi'an Jiaotong University, 2008, (02) : 119 - 124
  • [43] Improved classification ability in littoral environments by decision fusion
    Lennartsson, R. K.
    Dalberg, E.
    Lindgren, D.
    Persson, L.
    OCEANS 2007 - EUROPE, VOLS 1-3, 2007, : 589 - 593
  • [44] An Improved Decision Tree Algorithm Based on Mutual Information
    Fang, Lietao
    Jiang, Hong
    Cui, Shuqi
    2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2017,
  • [45] Improved edge detection algorithm based on decision tree
    Cai Aiping
    MECHATRONICS AND INDUSTRIAL INFORMATICS, PTS 1-4, 2013, 321-324 : 1080 - 1084
  • [46] An Improved Synthesized Decision Tree Algorithm and Its Application
    Qiu Jianlin
    Ji Dan
    Gu Xiang
    Li Fen
    He Peng
    PROGRESS IN MEASUREMENT AND TESTING, PTS 1 AND 2, 2010, 108-111 : 244 - 249
  • [47] An Improved ID3 Decision Tree Algorithm
    Jin, Chen
    De-lin, Luo
    Fen-xiang, Mu
    ICCSSE 2009: PROCEEDINGS OF 2009 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, 2009, : 127 - +
  • [48] Improved decision tree algorithm:: ID3+
    Xu, Min
    Wang, Jian-Li
    Chen, Tao
    INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION, 2006, 345 : 141 - 149
  • [49] An improved algorithm for decision-tree-based SVM
    Wang, Xiaodan
    Shi, Zhaohui
    Wu, Chongming
    Wang, Wei
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 4234 - +
  • [50] Decision fusion for few-shot image classification
    Yuan, Tianhao
    Liu, Weifeng
    Yan, Fei
    Liu, Baodi
    INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL, 2023, 12 (02)
12345