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Objective: The goal of this paper is to automatically digitize craniomaxillofacial (CMF) landmarks efficiently and accurately from cone-beam computed tomography (CBCT) images, by addressing the challenge caused by large morphological variations across patients and image artifacts of CBCT images. Methods: We propose a segmentation-guided partially-joint regression forest (S-PRF) model to automatically...
Stochastic transportation problems attract much attention in many fields, such as resource allocation, production management, etc. In this paper, after analyzing how to process random constraints in chance constrained programming, propose a quasi-linear pattern based on expectation and variance, moreover, give the quasi-linear programming model of stochastic transportation problems with good operability,...
As a kind of particular stochastic programming, stochastic transportation problem attracts much attention in many fields, such as energy development, materials management, etc. In this paper, after analyzing the essence of stochastic programming and the deficiencies of existing methods, propose a quasi-linear pattern based on expectation and variance. Give a stochastic programming pattern (generalized...
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