For this comparison, the structural similarity (SSIM), normalized mean square error (NMSE), and Fr茅chet inception distance (FID) were calculated between the outputs of the networks and fully sampled images. The statistical significance of the performance was evaluated by assessing the interclass ...
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images—A Comparison of CycleGAN and UNIT. (2018). Nie, D. et al. Medical image synthesis with context-aware generative adversarial networks. Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intel...
The algorithm defines the structural information in an image as those attributes that represent the structure of the objects in the scene, independent of the average luminance and contrast. The index is based on a combination of luminance, contrast and structure comparison. The comparisons are done...
For comparison of image similarity metrics and lesion CNR, we applied the paired t-test or the Wilcoxon signed-rank test according to the Shapiro–Wilk normality test. For the observer study, the detection rate of the lymph nodes was compared using the McNemar test and the differences in lesio...
To demonstrate the necessity of our axial registration method, we performed 3D co-registration of PAT-MRI dual-modality images without the help of the external markers for comparison. In addition, we also employed the similarity (consisting of translation, rotation, and scale) transformation besides...
H ere atten tion from the ou tside world to the inner m ind of the sim ilaritie s are found to be their advocacy of ind i every individual. vidualism rather than social conform ity, their em b race 2. U n ion of natu re and hum an heart m en t of the un ity of natu ...
Furthermore, the parameters like Contrast Improvement Ratio, signal-to-noise ratio, peak signal-to-noise ratio, PL, and Structural Similarity Index are evident of better performance of proposed method when compared with the state-of-the-art methods and few recent methods. The comparison shows ...
This combined image is compared with original gray image with respect to the parameters PSNR, mean SSIM and UIQI. This method is followed for YCbCr and HSV models. Based on the values of these parameters the optimum method has been identified and further Contrast limited adaptive histogram ...
Fig. 4: 3D PSF comparison using 1-μm beads. a3D imaging of a single microbead and a comparison of the standard holographic backpropagation results against the network output and the images captured by a scanning bright-field microscope viaN = 81 scans with an axial step size of 0.5...
(b) Simulated comparison results of five CGH methods, including superposition within phase hologram (superposition), iterative Fourier transform algorithm (IFTA), non-convex optimization (NOVO), superposition within binary hologram (random), and binary-SGD (B-SGD). The binary holographic methods only...