SpineNet: Automated Classification and Evidence Visualization in Spinal MRIs

Automated detection, grading and localization of abnormalities in medical images is an important task to support clinical decision making across many medical specialties. As the utilization and interpretation of medical images continues to expand beyond the radiology department, as it has in cardiology and neurology, it is becoming increasingly important to supplement the typically qualitative radiological read with objective quantitative methods.

Source: Medical Image Analysis - July 21, 2017 Category: Radiology Authors: Amir Jamaludin, Timor Kadir, Andrew Zisserman Source Type: research