Optimization of Pediatric Cancer Diagnosis with Convolutional Neural Networks (CNNs)

In today’s world, technology has become much more prevalent in the world of medicine. Growing fields like biotechnology and artificial intelligence are helping save improve lives ways that we couldn’t have imagined just 40, 50 years ago. Some most common examples this today prosthetics using radiology. past few years, been advancing scientists begun to research whether deep learning algorithms convolutional neural networks can be used help detect signs diagnose cancer. Specifically, a growing field refers CNN models pediatric cancer, one hardest cancers based on symptoms. paper, it will discussed effective use for detection or diagnosis cancers.