Author: Saban Ozturk; Umut Ozkaya; Mucahid Barstugan
Title: Classification of Coronavirus Images using Shrunken Features Document date: 2020_4_6
ID: 2l1zw19o_19
Snippet: The proposed framework is shown in Figure 2 . Firstly, classical image augmentation is applied to minority classes, and images are rotated, scaled, etc. The total number of images from after image augmentation 126 increases to 260. 1 https://github.com/ieee8023/covid-chestxray-dataset . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity......
Document: The proposed framework is shown in Figure 2 . Firstly, classical image augmentation is applied to minority classes, and images are rotated, scaled, etc. The total number of images from after image augmentation 126 increases to 260. 1 https://github.com/ieee8023/covid-chestxray-dataset . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
Search related documents:
Co phrase search for related documents- cc NC ND International license and minority class: 1
- cc NC ND International license and total number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- classical image augmentation and image augmentation: 1
- image augmentation and propose framework: 1, 2
- image total number and total number: 1, 2, 3, 4
- International license and minority class: 1, 2
- International license and total number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
Co phrase search for related documents, hyperlinks ordered by date