Before revision:  Given the scenario and considering the fact that, as far as we know, there is still no mapping study on the application of deep learning techniques in PCXRimages, we propose in this article a "deep radiography" of the last decade in this research topic and a preliminary research agenda that deals with the state of the art of applying DL on PCXR that constitute a collaborative tool for future researchers. Our goal is to identify primary studies and support the process of choosing and developing DL techniques applied to PCXR images , in addition to pointing out gaps and trends by drawing up a preliminary research agenda.
After revision:  Given the scenario and considering the fact that, as far as we know, there is still no mapping study on the application of deep learning techniques in PCXRimages, we propose in this article a "deep radiography" of primary research on DL techniques applied to PCXR images , in addition to pointing out gaps and trends by drawing up a preliminary research agenda.