Leveraging Deep Learning Neural Networks for Early Detection of Diseases in Medical Imaging

This publication has 30 references indexed in Scilit:

• A hybrid CNN with transfer learning for skin cancer disease detection
  Medical & Biological Engineering & Computing, 2024
• Detection of SARS-CoV-2 Virus Using Lightweight Convolutional Neural Networks
  Wireless Personal Communications, 2024
• Cataract Diagnosis Using Convolutional Neural Networks Classifiers. A Preliminary Study
  2024
• X-ray image-based pneumonia detection and classification using deep learning
  Multimedia Tools and Applications, 2024
• Glaucoma Classification Using Enhanced Deep Transfer Learning Models with Hybrid ROI Cropped Optic Disc Technique
  SN Computer Science, 2023
• Transfer learning–driven ensemble model for detection of diabetic retinopathy disease
  Medical & Biological Engineering & Computing, 2023
• EyeCNN: exploring the potential of convolutional neural networks for identification of multiple eye diseases through retinal imagery
  International Ophthalmology, 2023
• Applications of deep learning in fundus images: A review
  Medical Image Analysis, 2021
• A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system
  Pattern Recognition Letters, 2020
• Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
  Cell, 2018