Before revision: Despite advances in the acquisition of medical imaging and computer-aided support techniques, x-rays due to their low cost, high availability and low radiation levels are still an important diagnostic procedure, constituting the most frequently performed radiographic examination in pediatric patients for disease investigation while researchers are looking for increasingly efficient techniques to support decision-making. Emerging in the last decade as a viable alternative, deep learning (DL) , a technique inspired by neuroscientific and neural connections, has gained much attention from researchers and made significant advances in the field of medical imaging, outperformed the state-of-art of many techniques, including those applied to pediatric chest radiography (PCXR).
After revision: Despite advances in the acquisition of medical imaging and computer-aided support techniques, x-rays due to their low cost, high availability and low radiation levels , and high availability. In the last decade as a viable alternative, deep learning (DL) , a technique inspired by neuroscientific and neural connections, has gained much attention from researchers and made significant advances in the field of medical imaging, outperformed the state-of-art of many techniques, including those applied to pediatric chest radiography (PCXR).