Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...
Abstract: Model predictive control (MPC) has proven useful in enabling safe and optimal motion planning for autonomous vehicles. In this article, we investigate how to achieve MPC-based motion ...
1 Department of General Surgery, Shangyu People’s Hospital of Shaoxing, Shaoxing, Zhejiang, China 2 Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, School of ...
SPSS Software is a powerful and widely-used statistical analysis tool designed for researchers, data analysts, and professionals. It enables users to perform complex data analysis, predictive modeling ...
CT-based nomogram for predicting EGFR mutation status in ground-glass nodules of lung adenocarcinoma
Purpose: This study aimed to establish a nomogram based on computed tomography (CT) imaging characteristics to predict epidermal growth factor receptor (EGFR) mutation status in patients with ...
During model development, it is essential to focus on model quality, including reducing bias risk, designing appropriate sample sizes, conducting external validation, and ensuring model ...
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