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 …
JT Wu, KCL Wong, Y Gur, N Ansari… - JAMA network …, 2020 - jamanetwork.com
Importance Chest radiography is the most common diagnostic imaging examination performed in emergency departments (EDs). Augmenting clinicians with automated …
Chest radiography (X-ray) is the most common diagnostic method for pulmonary disorders. A trained radiologist is required for interpreting the radiographs. But sometimes, even …
H Farhat, GE Sakr, R Kilany - Machine vision and applications, 2020 - Springer
Shortly after deep learning algorithms were applied to Image Analysis, and more importantly to medical imaging, their applications increased significantly to become a trend. Likewise …
T Alsuliman, D Humaidan, L Sliman - Current research in translational …, 2020 - Elsevier
Motivation As a result of the worldwide health care system digitalization trend, the produced healthcare data is estimated to reach as much as 2314 Exabytes of new data generated in …
Biomedical-named entity recognition (bNER) is critical in biomedical informatics. It identifies biomedical entities with special meanings, such as people, places, and organizations, as …
DA Moses - Journal of Medical Imaging and Radiation …, 2021 - Wiley Online Library
Deep learning (DL) has shown rapid advancement and considerable promise when applied to the automatic detection of diseases using CXRs. This is important given the widespread …
Deep learning has provided numerous breakthroughs in natural imaging tasks. However, its successful application to medical images is severely handicapped with the limited amount of …
DJ Alapat, MV Menon, S Ashok - Journal of biomedical physics & …, 2022 - ncbi.nlm.nih.gov
The health organisation has suffered from the lack of diagnosis support systems and physicians in India. Further, the physicians are struggling to treat many patients, and the …