Biqing Huang
Biographic Data
| ID | 7866331 |
|---|---|
| NAME | Biqing Huang |
| GIVEN NAMES | Biqing |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG B |
| AFFILIATIONS | Tsinghua University |
| ORCID | 0000-0002-5600-7055 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Balanced Convolutional Neural Networks for Pneumoconiosis Detection
Pneumoconiosis remains one of the most common and harmful occupational diseases in China, leading to huge economic losses to society with its high prevalence and costly treatment. Diagnosis of pneumoconiosis still strongly depends on the experience of radiologists, which affects rapid detection on large populations. Recent research focuses on computer-aided detection based on machine learning. These have achieved high accuracy, among which artifi…
Analysis of Covid-19 Prevention and Control Effects Based on the SEITRD Dynamic Model and Wuhan Epidemic Statistics
Since December 2019, millions of people worldwide have been diagnosed with COVID-19, which has caused enormous losses. Given that there are currently no effective treatment or prevention drugs, most countries and regions mainly rely on quarantine and travel restrictions to prevent the spread of the epidemic. How to find proper prevention and treatment methods has been a hot topic of discussion. The key to the problem is to understand when these i…
No prominent works on this page.
Analysis of Covid-19 Prevention and Control Effects Based on the SEITRD Dynamic Model and Wuhan Epidemic Statistics
Since December 2019, millions of people worldwide have been diagnosed with COVID-19, which has caused enormous losses. Given that there are currently no effective treatment or prevention drugs, most countries and regions mainly rely on quarantine and travel restrictions to prevent the spread of the epidemic. How to find proper prevention and treatment methods has been a hot topic of discussion. The key to the problem is to understand when these i…
Balanced Convolutional Neural Networks for Pneumoconiosis Detection
Pneumoconiosis remains one of the most common and harmful occupational diseases in China, leading to huge economic losses to society with its high prevalence and costly treatment. Diagnosis of pneumoconiosis still strongly depends on the experience of radiologists, which affects rapid detection on large populations. Recent research focuses on computer-aided detection based on machine learning. These have achieved high accuracy, among which artifi…
Artificial Intelligence (2 works) · Computer Science (2 works) · Medicine (2 works) · AI in cancer detection (1 works) · Chest radiograph (1 works) · Cognitive psychology (1 works) · Control (management (1 works) · Convolutional neural network (1 works) · Coronavirus disease 2019 (COVID-19 (1 works) · COVID-19 diagnosis using AI (1 works)