Author: Xuehai He; Xingyi Yang; Shanghang Zhang; Jinyu Zhao; Yichen Zhang; Eric Xing; Pengtao Xie
Title: Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans Document date: 2020_4_17
ID: l3f469ht_25
Snippet: In the end, we obtain 349 CT scans labeled as being positive for COVID-19. These scans are from 143 patient cases. The average, maximum, and minimum number of CT scans that a patient has is 1.6, 16.0, and 1.0 respectively. These CT images have different sizes. The average, maximum and minimum height are 491, 1853, and 153 respectively. The average, maximum, and minimum width are 383, 1485, and 124 respectively. Figure 1 shows some examples of the.....
Document: In the end, we obtain 349 CT scans labeled as being positive for COVID-19. These scans are from 143 patient cases. The average, maximum, and minimum number of CT scans that a patient has is 1.6, 16.0, and 1.0 respectively. These CT images have different sizes. The average, maximum and minimum height are 491, 1853, and 153 respectively. The average, maximum, and minimum width are 383, 1485, and 124 respectively. Figure 1 shows some examples of the COVID-19 CT scans.
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