Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …

Any attempt to predict the next 10 years, much less beyond, must keep in mind that just a
decade ago, 2 of Geoffrey Hinton's University of Toronto graduate students achieved a major …

Although there have been several recent advances in the application of deep learning
algorithms to chest x-ray interpretation, we identify three major challenges for the translation …

Recent advances in training deep learning models have demonstrated the potential to
provide accurate chest X-ray interpretation and increase access to radiology expertise …

The quality of medical image directly affects the accuracy of doctor's diagnosis. However, the
application of traditional image quality assessment (IQA) methods to medical image is still a …

Background Chest computed tomography (CT) image quality impacts radiologists'
diagnoses. Pre-diagnostic image quality assessment is essential but labor-intensive and …

Background Digital radiography is the most commonly utilized medical imaging technique
worldwide, and the quality of radiographs plays a crucial role in accurate disease diagnosis …

Rejected or repeated images analysis remains a significant challenge, particularly in digital
imaging. Despite the expectation that the transition from conventional to digital systems …

Background: Chest X-rays (CXR) rank among the most conducted X-ray examinations. They
often require repeat imaging due to inadequate quality, leading to increased radiation …

Mechanisms are provided to implement an automated medi cal imaging report generator
which receives an input medi cal image and inputs the input medical image into a machine …