The phrase "assisted segmentation" is correct and usable in written English.
It can be used in contexts related to data analysis, image processing, or any field where segmentation is aided by external support or tools.
Example: "The software provides assisted segmentation to help users accurately identify and categorize different regions in the image."
Alternatives: "guided segmentation" or "supported segmentation".
However printing of the final medical three dimensional model is preceded by a number of laborious steps involving computer assisted segmentation of the structures of interest, as described elsewhere in great details [10].
CAS = computer assisted segmentation.
The inter- and intra-observer agreements for reference threshold values were high with small bias values (Table 1).> -wrap-foot> CAS = computer assisted segmentation.
Progression was observed in 3 femoral condyles and 2 tibial plateaus, regression in 4 femoral condyles and 2 tibial plateaus.> -wrap-foot> CAS = computer assisted segmentation.
This has not only been necessary to help increase image contrast and improve imaging speed on a larger scale, but also to help computer vision research produce assisted segmentation approaches for reconstructing different features.
The percentage of BML volume in relation to the condyle volume analysed (relative BML-involvement) was also lower by CAS than by manual segmentation (Table 3).> -wrap-foot>> -wrap-foot> CAS = computer assisted segmentation.
Therefore, cluster analysis can assist the segmentation of road accidents.
Microarray images were processed with Matarray, which has been extended to process three images simultaneously, in particular utilizing the advantages of the pre-hybridization FITC image to assist signal segmentation and quantification [ 20, 24].
Utilizing clearly defined anatomical boundaries, assisted by unbiased segmentation to highlight the hard-to-see white matter tracks, resulted in high interrater reliability with an ICC of 0.86 and 0.91 for the middle slice volume and total hypothalamus volume, respectively.
This paper presents Markov surfaces, a probabilistic algorithm for user-assisted segmentation of elongated structures in 3D images.
Applying the proposed infarct detection method to facilitate accurate computer-assisted segmentation of white matter lesions will also be our future effort.
