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In this paper an original method of the feature extraction of thermal images called MoASoS (Method of Area Selection of States) was presented.
The task-defined method of area parcellation is quite distinct from the subject-specific methods of area parcellation highlighted throughout the present report.
Both the proposed automated method of area of quantification selection and the two pathologists were used to review all the samples (A and B sets) using digital representation of glass slides with an 8x reduced WSI resolution while expert quantification was done in full resolution and for 10 areas of unknown location.
The scores from the expert microscopic examination and all automatic scores from areas chosen by both pathologists and scores from the proposed automatic method of area of quantification selection were analyzed using agreement analysis, since IHC interpretation is a subjective process of evaluation.
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Moreover, the influence of crack width, curing ways and cracking age on the crack self-healing of cement paste with microbial self-healing agent was researched by the characterization methods of area repair rate and anti-seepage repair rate.
Further research into the differences between the methods of area calculation is needed.
Despite the differences in the methods of area parcellation noted above, we directly quantified the agreement between the 2 methods of parcellation by determining whether task-defined area centers exhibited higher RSFC-Snowballing peak counts than would be observed at random locations.
Nevertheless, our preliminary test revealed evidence for convergence in the methods of area parcellation: Area centers defined by task-evoked activity exhibited significantly higher RSFC-Snowballing peak counts in individual subject's RSFC-Snowballing peak density maps than that observed at random locations.
The factors investigated include tumor size and histology, nodal status, martial status, aboriginality, age, method of payment, area of residence, and country of birth.
Thirty-seven hospital service areas for children [HSAP] were created with the method of "small area analysis", reflecting user-based health markets.
The FR method SSIM[94] is a commonly used representative method of this area.
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