A Computationally Efficient U-Net Architecture for Lung Segmentation in Chest Radiographs
Year: 2019
Type: conference-paper
Institution: University of Dayton
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W3016066905
