Retinal 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 ...

Automatic retinal vessel segmentation is a challenging problem in the clinical diagnosis of eye diseases. Accurate segmentation of retinal vessel can efficiently assist the physicians to make a more precise symptom detection. However, there are various ...

Similarity 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 ...

Hypertension 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 ...

With 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 ...

Intelligent clinical decision is an important utility of artificial intelligence. At present, most of its algorithm is based on big data or nature language processing. The limitation of such algorithm is discussed and summarized. That clinical decision ...

With the rise of cognitive science, human is able to extend the subject and combine it with computer science to give birth to artificial intelligence. For example, understanding of brain neurons and synapse helps develop artificial neurons in artificial ...

Object detection and segmentation is an important direction in biological image processing. Traditional thresholding and labeling methods as well as machine learning methods are the two predominant ways to solve this problem. In this article, a multi-...

With 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 ...

In recent years, great progress has been made in the study of knowledge graph in various fields, and it has become a hot topic in Traditional Chinese Medicine (TCM) related fields. This paper utilizes a Chinese Herbal Medicine collection, which includes ...

Intelligent Diagnosis for pathological voice contains two parts. One is intelligent detection, and the other is intelligent comprehension. Before the application of intelligent comprehension, it is important for us to know how human perceive ...

For 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, ...

Atrial fibrillation (AF) is the most common cardiac arrhythmia, and it can cause a variety of cardiovascular diseases. Nonetheless, the early stage of AF is usually paroxysmal, with strong concealment. Electrocardiogram (ECG) is one of the most ...

Purpose-As of March 2020, this paper collected 41 prescriptions for Covid-19 in official reports, and used machine learning and knowledge graph technology to discover the rules of common prescription medication for Covid-19 and the Chinese medicinal ...

In 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 ...

An 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 ...

At 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 ...