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| Algorithms | Advantages | Disadvantages |
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| Histogram equalization [190] | It is a versatile strategy to the picture and an invertible administrator. It can be recuperated and expands differentiation of pictures. | It is not the best technique for contrast improvement and is unpredictable. It expands the contrast of foundation noise. |
| Median filter mask [10] | It can save sharp components in a picture while filtering noise, and it is good at eliminating “salt and pepper” type noise | It separates picture edges and produces false noise edges and cannot smooth medium-tailed noise dissemination |
| Gaussian filter [191] | Its Fourier change has zero recurrence. It is broadly utilized to diminish picture noise and lessen detail. | It decreases subtleties and cannot deal with “salt and pepper” noise. It sometimes makes all parts blue and obscures the objects. |
| Wiener filter [192] | It eliminates the additive noise, transforms the obscuring, and limits the general mean square error during inverse filtering and noise smoothing | It is hard to acquire ideal rebuilding for the noise, relatively delayed to apply as working in the recurrence area |
| Gabor filter [151] | It investigates whether there is a particular recurrence content. It has gotten significant consideration as it takes after the human visual framework. | It requires huge investments. It has a high excess of provisions. |
| Isotropic voxel [193] | It is the fastest approach and a “precise” 3D structure block, as it copies particles and opens new reproduction procedures | It is hard to fabricate complex articles utilizing voxels. It does not have numerical accuracy. |
| Thresholding [142] | It diminishes the intricacy, works on acknowledgment and grouping, and changes the pixels to make the picture simpler | There is no assurance that the pixels distinguished by the thresholding system are bordering |
| Binary inversion [194] | CT scans were converted into black and white to detect the nodules as binary inversion will get the dark part as black which means 1 | It is not a clear form to detect nodules and it has a huge chance to miss the nodules |
| Interpolation [195] | It is used to foresee obscure qualities. It forecasts values for cubic in a raster. | It obscures the edges when the decreased proportion is less |
| SMOTE [179] | It is an oversampling procedure and is powerful to handle class awkwardness. It assists with conquering the overfitting issue. | It can build the covering of classes and present extra commotion. Often it does not constrict the predisposition. |
| CLAHE [187] | The adjoining tiles are joined using bilinear expansion to take out incorrect representation incited bounds | Any commotion that might be accessible in the picture |
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