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Various studies have examined relationships between ethnicity and breast density patterns using the Wolfe classification system [ 2], with a view to investigating potential breast cancer risk.
The resultant SAM patterns were subjected to pattern classification.
A medical disease prediction may be viewed as a pattern classification problem based on a set of clinical and laboratory parameters.
MVPA can be considered as a multi-objective pattern classification problem with the aim to optimize response patterns, in which informative voxels interacting with each other are selected, achieving high classification accuracy associated with cognitive stimulus conditions.
We also describe in detail a specific design on subcategory-based ensemble classification, with application in tissue pattern classification of Interstitial Lung Diseases ILDD) in High-Resolution Computed Tomography (HRCT) images.
In this section, we suggest a low-complexity noncoherent detection algorithm from an appealing pattern classification point of view.
It is a supervised pattern classification approach.
From a pattern classification point of view, a group of quantitative features are then extracted by making full use of the inherent property of UWB propagations.
Anteroposterior and lateral view radiographs of the knee were obtained to establish the fracture pattern, classification and pre-operative planning.
Wang, Z. et al. Fully memristive neural networks for pattern classification with unsupervised learning.
With artificially created data, we illustrate pros and cons of pattern classification by the proposed methodology.
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