Enhanced pulmonary nodule detection with U-Net, YOLOv8, and swin transformer

Enhanced pulmonary nodule detection with U-Net, YOLOv8, and swin transformer

Abstract Rationale and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide, emphasizing the critical need for early pulmonary nodule detection to improve patient outcomes. Current methods encounter challenges in detecting small nodules and exhibit high false positi...

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Bibliographic Details
Main Authors: Xing Wang, Houde Wu, Longshuang Wang, Jingxu Chen, Yi Li, Xinliu He, Ting Chen, Minghui Wang, Li Guo
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
Subjects:
Deep learning
Pulmonary nodule detection
Swin transformer
U-Net
Yolov8
Online Access:https://doi.org/10.1186/s12880-025-01784-0
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https://doi.org/10.1186/s12880-025-01784-0

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