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The continuous advancement in the field of imaging sensor necessitates the development of an efficient image fusion technique.
It's an efficient image.
First, we integrate the image boundary information into weakly supervised clustering by adopting an efficient image segmentation algorithm with proved convergence.
This paper describes an efficient image processing method for cell pattern recognition and morphological analysis of images that were affected by uneven background.
Then the proposed noise model is applied with the Local Linear Minimum Mean Square Error filter to design an efficient image denoising method.
Recently an efficient image encryption method based on chaos and permutation diffusion architecture is suggested in [G. Zhang, Q. Liu, Opt. Commun. 284 (2011) 2775 2780].
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In this work, we propose an efficient image-driven method for the automatic segmentation of the heart from CT scans.
Then, the pre-learned CNN is fine-tuned based on these discovered local regions to produce an efficient image-level classifier.
Hence, an efficient image-based similarity hinting on seeing common scene is always useful. Figure 2 shows an example of Flicker images tagged by "Notre Dame" keyword.
Those objectives can be classified into two types: (i) security objectives (i.e., to achieve certain security properties such as integrity of the watermarked image) and (ii) non-security objectives (e.g., annotation for an efficient image-database management).
An efficient image-guided system that allows accurate pedicle screw placement and a reduction in the amount of fluoroscopic time would therefore be of value.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com