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FMCSYOLOV8m: A double-dimension anchor-free pulmonary nodule detection method that fuses multi-scale features | Synapse
March 3, 2026
FMCSYOLOV8m: A double-dimension anchor-free pulmonary nodule detection method that fuses multi-scale features
LH
Liying Han
XZ
Xiaoyu Zou
YH
Yiran Huang
Hebei University of Technology
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Key Points
Improved detection method for pulmonary nodules demonstrates higher accuracy and efficiency for clinicians.
The technique integrates multi-scale features with an anchor-free approach, achieving significant advancements in nodule detection.
Analysis using the FMCS_YOLOV8m detection method shows promising potential for rapid identification of nodules.
Additional validation on diverse datasets may enhance the reliability of this detection framework.
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Han et al. (Wed,) studied this question.
synapsesocial.com/papers/69a7604cc6e9836116a2ce38
https://doi.org/https://doi.org/10.1016/j.bspc.2026.109797
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