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Chapter and Conference Paper
Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning
Recent advancements in Computer Vision have opened up new opportunities for addressing complex healthcare challenges, particularly in the area of lung disease diagnosis. Chest X-rays, a commonly used radiologi...
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Chapter and Conference Paper
Evolutionary Optimization for CNN Compression Using Thoracic X-Ray Image Classification
Computer Vision, as an area of Artificial Intelligence, has recently achieved success in tackling numerous difficult challenges in health care and has the potential to contribute to the fight against several l...
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Chapter and Conference Paper
Design and Compression Study for Convolutional Neural Networks Based on Evolutionary Optimization for Thoracic X-Ray Image Classification
Computer Vision has lately shown progress in addressing a variety of complex health care difficulties and has the potential to aid in the battle against certain lung illnesses, including COVID-19. Indeed, ches...
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Chapter and Conference Paper
Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification
Chest X-Ray images are among the most used tools in medical diagnosis of various hearts and lung abnormalities and infections that could cause pneumonia, severe acute respiratory syndrome, septic shock, failur...