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TB-LNPs: A Web Server for Access to Lung Nodule Prediction Models

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机构: [1]School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China [2]Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China [3]School of Healthcare Technology, Chengdu Neusoft University, Sichuan, China [4]College of International College of Digital Innovation, Chiang Mai University, Chiang Mai, Thailand
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关键词: Lung nodule Web server Prediction models

摘要:
A large number of lung nodule prediction models have been developed by scientific societies, such as the Brock University (BU) model and the Mayo Clinic (MC) model, which are easy to apply by the general public and researchers. However, there are few existing web servers that can combine these models. TB-LNPs (Tool Box of Lung Nodule Predictors) is a web-based tool that provides fast and safe functionality based on accessible published models. TB-LNPs consists of four segments, including 'Home', 'About Us', 'Manual', and 'Tool Box of Lung Nodule Predictions'. We give extensivemanual guiding for TB-LNPs. In addition, in the 'Tool Box of Lung Nodule Predictors' part, we reconstructed six published models by R and constructed a web server by Spring Boot. TB-LNPs provides fast interactive and safe functions using asynchronous JavaScript and Data-Oriented Security Architecture. TB-LNPs bridges the gap between lung nodule prediction models and end users, thus maximizing the value of lung nodule prediction models. TB-LNPs is available at http://i.uestc.edu.cn/TB-LNPs.

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第一作者机构: [1]School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China [2]Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
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