Beginner's Guide to Medical Application Development with Deep Convolutional Neural Networks

1. Introduction to Medical Data and Image Analysis 2. The Convolutional Neural Network 3. The Detection of COVID-19 Pneumonia Using Inception V3 and Custom Designed Bi-Modal Looping DCNN via Analysis of X-Ray Images 4. Detection of Pneumonia from a Small-Scale Dataset of X-Ray Images of Lungs by Using a Compound Batch-Normalizing Convolutional Neural Feature Extracting Random Forest Classifier 5. An Adaptive Profound Transfer Learning Strategy for Malaria Cell Parasite Classification and Detection 6. Implementation of a Deep Convolutional Auto-Encoding Image-Reconstruction Network (DCARN) to Visualize Distinct Categories of COVID-19 and Pneumonia X-Ray Image Features 7. Super Resolution Generative Adversarial Neural Network (SR-GANN) with Bi-Modal Multi-Perceptron Layers for Medical X-Ray Images 8. Conclusion

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• Engenharia electrotécnica
• Processamento de imagens
• Engenharia biomédica
• As redes neurais e sistemas nebulosos
• Engenharia do controlo automático

DCNN;Deep Transfer Learning System;Pneumonia;X-Ray Images;DCARN;SR-GANN