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Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge

By Gongning Luo and others at
LogoHarbin Institute of Technology
and
LogoCase Western Reserve University
Efficient automatic segmentation of multi-level (i.e. main and branch) pulmonary arteries (PA) in CTPA images plays a significant role in clinical applications. However, most existing methods concentrate only on main PA or branch PA segmentation separately and ignore segmentation efficiency. Besides, there is no public large-scale dataset focused on PA... Show more
August 9, 2024
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Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
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