LNAS: a clinically applicable deep-learning system for mediastinal enlarged lymph nodes segmentation and station mapping without regard to the pathogenesis using unenhanced CT images
Background The accurate identification and evaluation of lymph nodes by CT images is of great significance for disease diagnosis, treatment, and prognosis. Purpose To assess the lymph nodes’ segmentation, size, and station by artificial intelligence (AI) for unenhanced chest CT images and evaluate i...
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Veröffentlicht in: | Radiologia medica 2024-02, Vol.129 (2), p.229-238 |
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Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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