Table 1. Current accessible image collection, utilized in deep learning experiments to identify various microorganisms, aids in precise disease diagnosis.
|
Organisms |
Description of the dataset |
Ref. |
|
Virus |
Based on Transmission Electron Microscopy images of 15 virus types with 15 texture classes and 100 unique texture patches per class |
[54] |
|
Bacteria |
3D microscopy images of gut bacteria of 21000 manually labelled 3D regions of interest. The image is reshaped into 8x28x28 by the convent function before input into the neural network. It was originally 10x30x30 px (4.5 x 4.5 x 8 um). |
[55] |
|
Parasites |
34,298 microscopic pictures of various parasites and host cells |
[56] |
|
Fungus |
Digital images of fungus species contain 180 images of five yeast-like fungal strains. |
[57] |