COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation

• Päätekijät: Ko, Hoon (Tekijä), Chung, Heewon (Tekijä), Kang, Wu Seong (Tekijä), Kim, Kyung Won (Tekijä), Shin, Youngbin (Tekijä), Kang, Seung Ji (Tekijä), Lee, Jae Hoon (Tekijä), Kim, Young Jun (Tekijä), Kim, Nan Yeol (Tekijä), Jung, Hyunseok (Tekijä), Lee, Jinseok (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: JMIR Publications, 2020-06-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

BackgroundCoronavirus disease (COVID-19) has spread explosively worldwide since the beginning of 2020. According to a multinational consensus statement from the Fleischner Society, computed tomography (CT) is a relevant screening tool due to its higher sensitivity for detecting early pneumonic chang...