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- research-articleDecember 2020
MSU-Net: A multi-scale U-Net for retinal vessel segmentation
ISAIMS '20: Proceedings of the 1st International Symposium on Artificial Intelligence in Medical SciencesPages 177–181https://doi.org/10.1145/3429889.3430295Retinal vessel segmentation is widely used in the diagnosis of eye diseases, and the effect of segmentation plays a crucial role in whether doctors can correctly diagnose diseases. To further improve the accuracy of the automatic segmentation method, a ...
- research-articleDecember 2020
Two-step Content-based Retrieval for Pulmonary Nodule Diagnosis
ISAIMS '20: Proceedings of the 1st International Symposium on Artificial Intelligence in Medical SciencesPages 237–241https://doi.org/10.1145/3429889.3429934Similarity measurement of pulmonary nodules can be useful in content-based retrieval for pulmonary nodule diagnosis on computed tomography (CT). Unlike previous retrieval schemes, which concentrate on the feature extracting, we focus on the similarity ...
- research-articleDecember 2020
Clinical Application of Intelligent Prediction Model for Atrial Fibrillation in Hypertensive Patients
ISAIMS '20: Proceedings of the 1st International Symposium on Artificial Intelligence in Medical SciencesPages 231–236https://doi.org/10.1145/3429889.3429933Hypertension is one of the most significant risk factors for atrial fibrillation (AF). However, few effective methods are available to support accurate prediction on the potential risk of atrial fibrillation among hypertensive patients currently. The ...
- research-articleDecember 2020
Research on batching strategy of medical orders based on Canopy-K-means two-stage clustering algorithm
ISAIMS '20: Proceedings of the 1st International Symposium on Artificial Intelligence in Medical SciencesPages 214–219https://doi.org/10.1145/3429889.3429930With the sharp increase in the number of orders and the amount of dismantling and sorting in the pharmaceutical logistics center, how to save labor in a limited time and improve the efficiency of sorting orders for dismantling is a problem that needs to ...
- research-articleDecember 2020
Cancer Classification and Gene Selection with Machine Learning Method
ISAIMS '20: Proceedings of the 1st International Symposium on Artificial Intelligence in Medical SciencesPages 122–127https://doi.org/10.1145/3429889.3429913With the population growth and aging accelerating, the global incidence of cancer continues to rise. Cancer prevention is crucial for human health. Cancer prediction is one of the important means of cancer prevention and treatment. Cancer classification ...
- research-articleDecember 2020
An End to End Thyroid Nodule Segmentation Model based on Optimized U-Net Convolutional Neural Network
ISAIMS '20: Proceedings of the 1st International Symposium on Artificial Intelligence in Medical SciencesPages 74–78https://doi.org/10.1145/3429889.3429903For current clinical diagnosis of thyroid nodules, thyroid ultrasound is one of the most valuable imaging examinations to evaluate thyroid diseases. There are many improved ultrasound equipment whose imaging mechanism will cause large imaging noise, ...
- research-articleDecember 2020
Research on promoting the application of disease prediction system based on machine learnin
ISAIMS '20: Proceedings of the 1st International Symposium on Artificial Intelligence in Medical SciencesPages 45–50https://doi.org/10.1145/3429889.3429898In order to solve the problem that the disease prediction system based on machine learning has more research and less clinical application, through the analysis of the training and application process of predictive disease model, it points out that the ...
- research-articleDecember 2020
Arrhythmia Classifier Using a Layer-wise Quantized Convolutional Neural Network for Resource-Constrained Devices
ISAIMS '20: Proceedings of the 1st International Symposium on Artificial Intelligence in Medical SciencesPages 38–44https://doi.org/10.1145/3429889.3429897An arrhythmia diagnosis neural network can perform real-time diagnosis through continuous monitoring, and it can warn against potential risks. Moreover, these networks can be installed in resources-constrained devices like wearable devices. However, the ...
- research-articleDecember 2020
Predictive Modeling of Diabetic Kidney Disease using Random Forest Algorithm along with Features Selection
ISAIMS '20: Proceedings of the 1st International Symposium on Artificial Intelligence in Medical SciencesPages 23–27https://doi.org/10.1145/3429889.3429894At present, the number of diabetes mellitus patients in China ranks first in the world, and diabetic kidney disease is the most common disease in complications. Therefore, it is necessary to establish a predictive model for early diagnosis of diabetic ...