Understanding Chest Radiographs Using Edge Map and Deep Learning Models
In computer vision, edge maps can help understand line-rich objects, such as buildings and cars when image data are considered. The edge map does not include color/texture properties in it. Organizing their relative positioning of these lines/curves is not trivial, and therefore the use of deep learning could possibly avoid missing information. In this work, using deep learning models and image processing, we present the use of an edge map to identify complex patterns for understanding abnormalities (such as Tuberculosis and Pneumonia) in chest X-rays.
Khurana, Shaurya, "Understanding Chest Radiographs Using Edge Map and Deep Learning Models" (2020). IdeaFest. 157.