Artificial intelligence diagnosis based on lung CT (computed tomography) image is one of the effective auxiliary diagnostic methods for novel coronavirus disease 2019 (COVID-19). A lightweight COVID-19 classification model based on attention mechanisms within and between slices was designed using neural networks and digital image processing techniques. Based on this, a COVID-19 intelligent diagnostic system was developed that integrates early screening, lesion evaluation, lesion segmentation, and lung and lesion pixel distribution histograms. We collected pulmonary CT images of 247 COVID-19 patients, 152 other pneumonia patients, and 92 healthy individuals from the People's Hospital of Wuhan University, and prepared them as a training dataset for network training. The experimental results show that the accuracy of the proposed method in the screening task and lesion assessment task on the validation set reaches 88.63% and 89.65%, respectively. The average diagnostic time per person in the algorithm model is shortened to 0.4 seconds, and the system has important application value.
期刊介绍：
Geomatics and Information Science of Wuhan University is a surveying and mapping academic journal supervised by the Ministry of Education and sponsored by Wuhan University. It is also a source journal included in EI (Engineering Index). Since its founding in 1957, the journal has been publicly issued in the form of a monthly journal, originally named "Journal of Wuhan University of Surveying and Mapping". At present, the journal is edited by Academician Li Jiancheng.
The purpose of this journal is to utilize China's advantages in surveying and mapping disciplines, serve both the domestic and international communities, publish with an open attitude, and strive to become China's excellent surveying and mapping journal brand. The journal publishes innovative and highly valuable surveying and mapping academic achievements, showcases the latest and highest level of surveying and mapping research in China, and aims to promote academic exchanges in surveying and mapping, guide the research direction of surveying and mapping science, promote the progress of related science and technology, and serve the development of the entire surveying and mapping industry.
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