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Based on Table 3, a patient-oriented classification of stone composition was generated as indicated in this table into the "C", "CB", "B" and "O" categories.
It has been shown that the classification of kidney stones can lead to an important reduction of the recurrence rate.
The classification of kidney stones by human experts on the basis of certain visual color and texture features is one of the most employed techniques.
This is the first attempt towards the automatic visual classification of kidney stones, and based on the current results we foresee better accuracies with the increase of the dataset size.
It is evident, that stones are quite homogenous with 92.4percentt of stones yielding the same classification in both measurements.
Interestingly, 0.2% of stones yielded a pure "B" and "C" classification and 5.2% of stones a "C" and "CB" classification.
Calcium oxalate stones are the most common type of stones in urolithiasis in developed countries [ 1– 3].
The mean number of stones was 2.3, and the mean stone size was 16.4 mm.
Stone composition is largely similar to that of the general population, with calcium stone accounting for the majority of stones formed.
Classification of the weathering degree of large outdoor stone relics has long been a challenge in their protection engineering.
Australia New Zealand Standard Classification of Occupations.
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