NHPVS: a nodule-aware deep learning method for high-abundance pulmonary vessel segmentation on chest CT.

Rui Zhao¹, Shaoze Luo², Longfei Zhao², Bing Li³, Zhuangfei Ma², Ruijie Zhao¹, Jiaru Wang¹, Ran Xiao¹, Sirong Piao¹, Ying Ming¹, Zicheng Liao¹, Qiqi Xu⁴, Wei Song⁵

¹Radiology, Peking Union Medical College Hospital, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China, Beijing, Beijing, 100730, China.

²Research and Development Center, Canon Medical Systems China Co Ltd, 23rd Floor, Tower A, Ping An International Financial Center No.3, Xinyuan South Road, Chaoyang District, Beijing 100027, China, Beijing, Beijing, 100027, China.

³Research and Development Center, Canon Medical Systems China Co Ltd, 23rd Floor, Tower A, Ping An International Financial Center No.3, Xinyuan South Road, Chaoyang District, Beijing, 100027, China, Beijing, Beijing, 100027, China.

⁴Research and Development Center, Canon Medical Systems China Co Ltd, 23rd Floor, Tower A, Ping An International Financial Center No.3, Xinyuan South Road, Chaoyang District, Beijing, 100027, China, Beijing, 100027, China.

⁵Radiology, Peking Union Medical College Hospital, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China, Beijing, 100730, China.

PubMed DOI

Abstract

OBJECTIVE: Deep learning-based segmentation of pulmonary vessels is challenged by vessel-nodule confusion and insufficient detection of small vessels. To address these issues, we propose a Nodule-aware High-abundance Pulmonary Vessel Segmentation (NHPVS) framework that enhances nodule differentiation and improves small vessel segmentation. APPROACH: This multi-center study retrospectively collect…

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