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[HTML][HTML] Deep learning for chest X-ray analysis: A survey
E Çallı, E Sogancioglu, B van Ginneken… - Medical image …, 2021 - Elsevier
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 …
image analysis tasks. As the most commonly performed radiological exam, chest …
Advances in deep learning for tuberculosis screening using chest X-rays: the last 5 years review
There has been an explosive growth in research over the last decade exploring machine
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …
Covidx-net: A framework of deep learning classifiers to diagnose covid-19 in x-ray images
EED Hemdan, MA Shouman, ME Karar - ar** healthcare professionals. The proactive diagnosis of diseases with artificial …
Benchmarking saliency methods for chest X-ray interpretation
Saliency methods, which produce heat maps that highlight the areas of the medical image
that influence model prediction, are often presented to clinicians as an aid in diagnostic …
that influence model prediction, are often presented to clinicians as an aid in diagnostic …