NLSTseg: A Pixel-level Lung Cancer Dataset Based on NLST LDCT Images
Abstract Low-dose computed tomography (LDCT) is the most effective tools for early detection of lung cancer. With advancements in artificial intelligence, various Computer-Aided Diagnosis (CAD) systems are now supported in clinical practice. For radiologists dealing with a huge volume of CT scans, C...
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| Main Authors: | Kun-Hui Chen, Yi-Hui Lin, Shawn Wu, Nai-Wen Shih, Hsing-Chen Meng, Yen-Yu Lin, Chun-Rong Huang, Jing-Wen Huang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05742-x |
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