VisionGuard: enhancing diabetic retinopathy detection with hybrid deep learning.

Journal: Expert review of medical devices
PMID: 40156773

Abstract

OBJECTIVES: Early detection of diabetic retinopathy (DR) and timely intervention are critical for preventing vision loss. Recently, deep learning techniques have shown promising results in streamlining this process. The objective of this study was to develop a novel method, termed MobileFusionNet, which integrates the strengths of MobileNet and GoogleNet architectures to automate the detection of DR better using mobile devices.

Authors

  • Sudesh Rao
    Institute of Engineering and Technology, Srinivas University, Mangalore, India.
  • Sanjeev D Kulkarni
    Institute of Engineering and Technology, Srinivas University, Mangalore, India.
  • Vikas Marakini
    Department of Mechanical Engineering, Nitte (Deemed to be University), NMAM Institute of Technology (NMAMIT), Nitte, India.

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