Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning

Citations Over TimeTop 10% of 2019 papers

Abstract

Model modification, model integration, and transfer learning can play important roles to identify and generate optimal deep CNN models in classifying pulmonary nodules based on CT images efficiently. Transfer learning is preferred when applying deep learning to medical imaging applications.

Related Papers

• → Implementing convolutional neural network model for prediction in medical imaging(2022)6 cited
• → Leaf Features Extraction for Plant Classification using CNN(2021)7 cited
• → Deep Convolution Neural Network for RBC Images(2022)2 cited
• → CNN-based Transfer Learning for Covid-19 Diagnosis(2021)3 cited
• → Deep Convolutional Neural Networks(2021)8 cited