Advances in CT-based artificial intelligence techniques for lung nodule diagnosis
Lung cancer is one of the common malignancies worldwide. Lung nodules, defined as early stage manifestations, are critical for early detection and diagnosis to reduce mortality. In recent years, CT based artificial intelligence (AI) technology has made significant progress in medical image analysis....
Saved in:
| Main Author: | WANG Hao, BAI Zhuojie |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
The Editorial Department of Chinese Journal of Clinical Research
2025-05-01
|
| Series: | Zhongguo linchuang yanjiu |
| Subjects: | |
| Online Access: | http://zglcyj.ijournals.cn/zglcyj/ch/reader/create_pdf.aspx?file_no=20250503 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of artificial intelligence in the diagnosis and treatment of pulmonary nodules
by: WU Yuting, CHAI Yanling
Published: (2025-05-01) -
SOLITARY PULMONARY NODULES: EFFECTIVENESS OF DYNAMIC CT IN THE DIFFERENTIAL DIAGNOSIS
by: N. K. Silanteva, et al.
Published: (2017-11-01) -
Peritumoral features for assessing invasiveness of lung adenocarcinoma manifesting as ground-glass nodules
by: Xiao Wang, et al.
Published: (2025-04-01) -
Prediction model for growth trends of subpleural subsolid nodules using CT radiomics and radiological features
by: Chengxiu Yuan, et al.
Published: (2025-07-01) -
Predicting lung nodules malignancy
by: M. Jacob, et al.
Published: (2022-11-01)