Hybrid adaptive deep learning classifier for early detection of diabetic retinopathy using optimal feature extraction and classification

被引:0
|
作者
S. V. Hemanth
Saravanan Alagarsamy
机构
[1] Kalasalingam Academy of Research and Education (Deemed to Be University),Department of Computer Science and Engineering
关键词
Diabetic retinopathy; Preprocessing; Segmentation; Feature extraction; Feature selection; Classification;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:881 / 895
页数:14
相关论文
共 50 条
  • [1] Hybrid adaptive deep learning classifier for early detection of diabetic retinopathy using optimal feature extraction and classification
    Hemanth, S. V.
    Alagarsamy, Saravanan
    [J]. JOURNAL OF DIABETES AND METABOLIC DISORDERS, 2023, 22 (01) : 881 - 895
  • [2] Diabetic retinopathy detection and classification using hybrid feature set
    Amin, Javeria
    Sharif, Muhammad
    Rehman, Amjad
    Raza, Mudassar
    Mufti, Muhammad Rafiq
    [J]. MICROSCOPY RESEARCH AND TECHNIQUE, 2018, 81 (09) : 990 - 996
  • [3] A broad study of machine learning and deep learning techniques for diabetic retinopathy based on feature extraction, detection and classification
    Sangeetha K.
    Valarmathi K.
    Kalaichelvi T.
    Subburaj S.
    [J]. Measurement: Sensors, 2023, 30
  • [4] Diabetic Retinopathy Classification Using Hybrid Deep Learning Approach
    Menaouer B.
    Dermane Z.
    El Houda Kebir N.
    Matta N.
    [J]. SN Computer Science, 3 (5)
  • [5] A Hybrid CNN Model for Deep Feature Extraction for Diabetic Retinopathy Detection and Gradation
    Mukherjee, Nilarun
    Sengupta, Souvik
    [J]. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2023, 32 (08)
  • [6] Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy
    Mohanty, Cheena
    Mahapatra, Sakuntala
    Acharya, Biswaranjan
    Kokkoras, Fotis
    Gerogiannis, Vassilis C.
    Karamitsos, Ioannis
    Kanavos, Andreas
    [J]. SENSORS, 2023, 23 (12)
  • [7] Early Stage Detection of Diabetic Retinopathy Using an Optimal Feature Set
    Shirbahadurkar, S. D.
    Mane, Vijay M.
    Jadhav, D. V.
    [J]. ADVANCES IN SIGNAL PROCESSING AND INTELLIGENT RECOGNITION SYSTEMS, 2018, 678 : 15 - 23
  • [8] Diabetic Retinopathy Detection Using Deep Learning with Optimized Feature Selection
    Sapra, Varun
    Sapra, Luxmi
    Bhardwaj, Akashdeep
    Almogren, Ahmad
    Bharany, Salil
    Rehman, Ateeq Ur
    Ouahada, Khmaies
    [J]. TRAITEMENT DU SIGNAL, 2024, 41 (02) : 781 - 790
  • [9] Deep learning model using classification for diabetic retinopathy detection: an overview
    Muthusamy, Dharmalingam
    Palani, Parimala
    [J]. ARTIFICIAL INTELLIGENCE REVIEW, 2024, 57 (07)
  • [10] A diagnosis model for detection and classification of diabetic retinopathy using deep learning
    Syed, Saba Raoof
    Durai, M. A. Saleem
    [J]. NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS, 2023, 12 (01):