What is pneumonia?
Pneumonia is an inflammation of the lungs that primarily affects the small air sacs called alveoli.
alveoli with fluid health
alveoli
blockage of the bronchiole
normal bronchiole
Pneumonia can affect one or both lungs. Pneumonia in both lungs is called bilateral pneumonia or pneumonia in both lungs.
Symptoms of pneumonia often include a productive or dry cough, chest pain, fever, and difficulty breathing. The severity of the situation is variable.
The symptoms of pneumonia and bronchitis are different, and there are the same symptoms and different symptoms, which require attention.
Pneumonia is usually caused by a viral or bacterial infection, and less often by other microorganisms, certain medicines, or diseases such as autoimmune diseases. The picture below shows common bacteria and viruses that cause pneumonia.
The figure below shows the statistics of pneumonia in Europe and the United States, and the proportion of pneumonia without pathological detection is 60%.
Pneumonia risk factors include cystic fibrosis, chronic obstructive pulmonary disease (COPD), asthma, diabetes, heart failure, smoking history, poor coughing ability (such as after a stroke), and a weakened immune system.
pneumonia diagnosis
Diagnosis is usually based on symptoms and a physical examination. Chest x-ray, blood tests, and sputum cultures may help confirm the diagnosis. The disease may be classified according to where it is acquired, such as community- or hospital-acquired or medical-associated pneumonia.
Pneumonia prevalence
With the increase of cigarettes, electronic cigarettes, and adverse factors of air pollution, there are more and more pneumonia patients. In The Lancet, research results show that there are about 100 million COPD patients in my country, making it the third most common chronic disease in China after hypertension and diabetes.
AI Artificial Intelligence Pneumonia Image Recognition Model
In the case of limited medical resources, facing more and more pneumonia patients, can we use artificial intelligence models to assist doctors in diagnosing pneumonia CT or X-ray images, saving doctors a lot of time?
Through more than ten years of data experiments and experience accumulation, we have fully developed an AI artificial intelligence pneumonia image recognition model, which can assist doctors in diagnosis and save a lot of time.
Model training display
The model AUC is higher than 0.96, and the ability to distinguish pneumonia is excellent
The model KS is higher than 0.8, and the ability to distinguish pneumonia is excellent
The picture below shows the computer model for lung cancer image recognition
Our team's artificial intelligence pneumonia image recognition model advanced technology introduction 1-Overfitting treatment
Overfitting is the most troublesome problem in current business models. Our company greatly reduces model overfitting by randomly discarding neural network node technology.
Introduction to Advanced Technology of Artificial Intelligence Pneumonia Image Recognition Model 2-Data Enhancement
Small sample size and unbalanced samples are common problems in current business models. Our company uses data enhancement technology to achieve a good model for small sample image data and solve the problem of unbalanced samples.
If you are interested in this project, all major medical institutions, scientific research institutions, and biomedical companies are welcome to leave a message for consultation.
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Artificial Intelligence Pneumonia Image Recognition Model - Enterprise Model
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