Radiologic Science & DMI

Your friendly, frustration-free guide for this adventure in simplifying APA style. This handbook takes the pain of following APA style away by breaking it down to its essential elements and focusing on the important stuff students encounter most.

This brief 48-page booklet adapts guidelines from the 7th Edition of the APA Style. Includes practical examples throughout.

This clear and concise book demystifies the process of writing in APA style and format. Fully updated for the seventh edition, An EasyGuide to APA Style identifies common APA style and formatting mistakes and how to avoid them.

The discovery of XRays has transformed the practice of medicine, and over the course of the past 130 years, the development of new radiological techniques has continued to grow. Written by two radiologists who have a passion for the history of their field, The History of Radiology is a beautifully illustrated review of the remarkable developments within radiology and the scientists and pioneers who were involved.

The ABC of Emergency Radiology is a simple and logical step-by-step guide on how to interpret radiographs, US and CT. Each chapter starts with radiological anatomy, standard and then additional views, a systematic approach to interpretation (ABC approach) and followed by a review of common abnormalities

This image-rich study guide presents complex physics concepts in reader-friendly format. Every chapter starts with a general introduction, followed by case background, images, findings, and a brief explanation of the physical factors underlying the image's creation and displayed contrast. Schematics detail important radiation safety topics, such as potential occupational or patient hazards related to fluoroscopic-guided procedures

Medical Imaging Technologies and Methods for Health Care provides timely, evidence-based information that helps readers understand innovations in medical imaging.

Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.

Includes chapters on radiation dose and safety, patient satisfaction, monitoring and reporting of complications, quality and safety in breast imaging, evidence-based radiology, quality dashboards, quality and safety in nuclear medicine, and much more.