A Coarse‐to‐Fine Detection Framework for Automated Lung Tumour Detection From 3D PET/CT Images Article Swipe
Yunlong Zhao
,
Qiang Lin
,
Junfeng Mao
,
Jie Wei
,
Yongchun Cao
,
Zhengxing Man
,
Caihong Liu
,
Jingyan Ma
,
Xiaodi Huang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1049/ipr2.70146
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1049/ipr2.70146
Lung cancer remains the leading cause of cancer‐related mortality worldwide. Early detection is critical to improving treatment outcomes and survival rates. Positron emission tomography/computed tomography (PET/CT) is a widely used imaging modality for identifying lung tumours. However, limitations in imaging resolution and the complexity of cancer characteristics make detecting small lesions particularly challenging. To address this issue, we propose a novel coarse‐to‐fine detection framework to reduce missed diagnoses of small lung lesions in PET/CT images. Our method integrates a stacked detection structure with a multi‐attention guidance mechanism, effectively leveraging spatial and contextual information from small lesions to enhance lesion localisation. Experimental evaluations on a PET/CT dataset of 225 patients demonstrate the effectiveness of our method, achieving remarkable results with a precision of 81.74%, a recall of 76.64%, and an mAP of 84.72%. The proposed framework not only improves the detection accuracy of small target lesions in the lung but also provides a more reliable solution for early diagnosis.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/ipr2.70146
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.70146
- OA Status
- gold
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411917516
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411917516Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1049/ipr2.70146Digital Object Identifier
- Title
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A Coarse‐to‐Fine Detection Framework for Automated Lung Tumour Detection From 3D PET/CT ImagesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
-
Yunlong Zhao, Qiang Lin, Junfeng Mao, Jie Wei, Yongchun Cao, Zhengxing Man, Caihong Liu, Jingyan Ma, Xiaodi HuangList of authors in order
- Landing page
-
https://doi.org/10.1049/ipr2.70146Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.70146Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.70146Direct OA link when available
- Concepts
-
Lung, Computer science, Computer vision, Artificial intelligence, Nuclear medicine, Radiology, Biomedical engineering, Medicine, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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30Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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