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Notably, only the tumor areas on a histological image were tested in the design above.
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That image was tested by his silence over the policing of the G20 protests.
The direct neighborhood of each pixel of the image is tested.
This process is repeated for every image in the dataset so that each image is tested once.
This attack is considered in Table 3 and the watermarked image is tested under various scaling attacks with different scaling parameters.
The ability of this signal intensity algorithm to provide automated segmentation of both iron related contrast effects (green) and the renal arterial structures (red) from the same image was tested (Figure 3C).
The corresponding accuracy of every cropped image is tested.
Hence, firstly the rotational difference between the original image pairs was tested and then the result between the generated image and the second image was tested as well.
Both simulated and real images were tested and good experimental results confirm the feasibility of the proposed approach.
The resulting images were tested for their capacity to detect nine change phenomena, which were a priori defined in a three-level classification scheme.
In our experiments, a large number of images were tested.
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