Combining the initial segmentation information and concavity measurement, the proposed method first segments clusters of nuclei into individual pieces, avoiding segmentation errors introduced by the ...

In this paper, we proposed a U-Net-based multi-task learning network in which the boundary and region information is utilized to improve the segmentation accuracy of glioma nuclei, especially ...

This project performs a comprehensive customer segmentation analysis on a transnational online retail dataset spanning three years (2009, 2010, 2011). The primary goal is to identify distinct customer ...

This project focuses on analyzing customer behavior to uncover patterns that drive retention and churn. Using data-driven insights, we segment customers into distinct groups and build predictive ...