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An example of (a) mild, (b) moderate, (c) severe and (d) critical clinical image [23].

An example of (a) mild, (b) moderate, (c) severe and (d) critical clinical image [23].

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Figure 1. Example of the different classified bladder carcinoma types [22].
Figure 2. Flowchart of the algorithm developed by the Lorencin et al....
Figure 3. The discriminator-generator pair authors used in the research...
Figure 5. An example of (a) mild, (b) moderate, (c) severe and (d)...
+1 Figure 6. Visual representation of the proposed methodology [24]
Application of Artificial Intelligence-Based Image Analysis in Bioinformatics
Conference Paper
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  • Oct 2021
The collection of image data is an extremely common procedure in clinical practice today. Many of the diagnostic approaches generate such data-computed tomography (CT), X-ray radiography, magnetic resonance imaging (MRI), and others. This data collection process allows for the use of computer vision approaches to be applied with the goal of analysi...
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... utilize a dataset consisting of x-ray lung images of COVID-19 patients. The dataset is split into four classes -mild, moderate, severe and critical, as shown in Figure 5. Due to the low amount of data, researchers applied an augmentation procedure, using deterministic augmentations -rotation, image mirroring and brightness adjustment. ...