data augmentation in CNN

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lech king 2021-6-24

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评论： lech king 2021-6-24

Hello

I am going to train a squeezenet to detect CT scans in two classes of people with covid19 and healthy people, assuming that each image is 512 x 512.

At least in the training phase, how many images should be present so that there is no need to data augmentation like rotation and addition of gaussian and.....

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Walter Roberson 2021-6-24

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At least 83886080 images for training under the circumstances you describe.

... This should suggest to you that data augmentation is a very important stage.

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lech king 2021-6-24

Thank you very much

Because I work on CT scans of covid19, which are lung images

In about 70% of cases, the symptoms of the disease appear in certain places

But the reference article I am working on, because it has 441 images in training phase , has thus strengthened its database and achieved 85% accuracy.

a rotation (with a random angle between 0 and 90 degrees), a scale (with a random

value between 1.1 and 1.3) and addition of gaussian noise

to the original image

lech king 2021-6-24