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....
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| Format: | Article |
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The Editorial Department of Chinese Journal of Clinical Research
2025-05-01
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| Series: | Zhongguo linchuang yanjiu |
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| Online Access: | http://zglcyj.ijournals.cn/zglcyj/ch/reader/create_pdf.aspx?file_no=20250503 |
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| author | WANG Hao, BAI Zhuojie |
| author_facet | WANG Hao, BAI Zhuojie |
| author_sort | WANG Hao, BAI Zhuojie |
| collection | DOAJ |
| description | 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. This review summarizes the applications of deep learning and radiomics in the segmentation and detection of lung nodules, differentiation between benign and malignant nodules, and prediction of lung cancer prognosis. It also presents the latest technical frontiers with the aim of providing new perspectives and methods for clinical practice.
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| format | Article |
| id | doaj-art-7c32d06b7d544c509ff287cdb40c70b3 |
| institution | OA Journals |
| issn | 1674-8182 |
| language | zho |
| publishDate | 2025-05-01 |
| publisher | The Editorial Department of Chinese Journal of Clinical Research |
| record_format | Article |
| series | Zhongguo linchuang yanjiu |
| spelling | doaj-art-7c32d06b7d544c509ff287cdb40c70b32025-08-20T01:53:34ZzhoThe Editorial Department of Chinese Journal of Clinical ResearchZhongguo linchuang yanjiu1674-81822025-05-01385667671,67610.13429/j.cnki.cjcr.2025.05.003Advances in CT-based artificial intelligence techniques for lung nodule diagnosisWANG Hao, BAI Zhuojie0Department of Radiology, the Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210031, ChinaLung 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. This review summarizes the applications of deep learning and radiomics in the segmentation and detection of lung nodules, differentiation between benign and malignant nodules, and prediction of lung cancer prognosis. It also presents the latest technical frontiers with the aim of providing new perspectives and methods for clinical practice. http://zglcyj.ijournals.cn/zglcyj/ch/reader/create_pdf.aspx?file_no=20250503lung nodulesartificial intelligencedeep learningradiomicscomputer-aided diagnosisresidual network |
| spellingShingle | WANG Hao, BAI Zhuojie Advances in CT-based artificial intelligence techniques for lung nodule diagnosis Zhongguo linchuang yanjiu lung nodules artificial intelligence deep learning radiomics computer-aided diagnosis residual network |
| title | Advances in CT-based artificial intelligence techniques for lung nodule diagnosis |
| title_full | Advances in CT-based artificial intelligence techniques for lung nodule diagnosis |
| title_fullStr | Advances in CT-based artificial intelligence techniques for lung nodule diagnosis |
| title_full_unstemmed | Advances in CT-based artificial intelligence techniques for lung nodule diagnosis |
| title_short | Advances in CT-based artificial intelligence techniques for lung nodule diagnosis |
| title_sort | advances in ct based artificial intelligence techniques for lung nodule diagnosis |
| topic | lung nodules artificial intelligence deep learning radiomics computer-aided diagnosis residual network |
| url | http://zglcyj.ijournals.cn/zglcyj/ch/reader/create_pdf.aspx?file_no=20250503 |
| work_keys_str_mv | AT wanghaobaizhuojie advancesinctbasedartificialintelligencetechniquesforlungnodulediagnosis |