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Sentence examples for shape enhancement from inspiring English sources

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Further work includes modifying the discrete cosine transform to increase the mid-range spatial frequencies of JPEG images [10], which was then extended to include MPEG video enhancement [11] and recently a modified edge detection algorithm for contour shape enhancement applied to image luminance channels [12].

As depicted in Figure 7C, treatment with 25-OH elicited a significant increase of the cell maximum height from 2.11±0.21 µm to 3.98±0.40 µm, an edge retracted by approximately 10 µm and a spherical shape enhancement.

The second row shows the initial contours derived from the proposed method based on shape enhancement, and the third row shows the final evolution results.

(c) An automatic initialization method based on the vessel shape enhancement is developed, and it can provide a good initial evolution contour that makes the model converge rapidly, which avoids repeated trails in conventional local region active contour models.

Thirdly, an automatic initialization method for the evolution contour was developed by vessel shape enhancement, which overcame the problem of repeated trials for the initial contour of conventional local region active contour models for vessel segmentation and made the model converge rapidly.

Similar(55)

Ionizing the vapour has several advantages: improvement of the film quality, deposition on substrates with complex shapes, enhancement and control of the reactivity.

The information in the forms includes locations, shapes, numbers, enhancement shapes and regions of the lesions.

Three cases (16.67%) showed a ring (examples shown in Figures of 6C and 6C), seven (38.89%) showed a beaded (examples shown in Figures of 2C and 4C), three (16.67%) showed a serpiginous tubular (examples shown in Figures of 1C, 1D, and 3B), two (11.11%) cases showed a nodular, two (11.11%) showed a tortuous linear, and one (5.6%) showed a comma shaped enhancements.

Prediction of the presence of lymph node metastasis was established if the node met two or more of the following criteria: (1) ≥8 mm diameter in the short-axis, (2) round shape, (3) enhancement on contrast-enhanced CT scans, or (4) necrosis.

The quantitative radiomics workstation used for this study was able to yield 38 CEIP from dynamic contrast-enhanced MRI scans to characterise tumour size, shape, margin, enhancement texture, kinetics, and variance kinetics [6, 7, 19, 20, 21].

Lesions were described in relation to location, size, shape, margins, enhancement, presence of cavitation, calcifications, ground glass component, intratumoural enhanced vessels, pleural effusion, pleural tags, lymphangitis, chest wall/rib involvement and pathological lymph nodes.

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