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Investigation of optimal feature value set in false positive reduction process for automated abdominal lymph node detection method.

, , , , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9414 из SPIE Proceedings, стр. 94143N. SPIE, (2015)

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Takayuki Sugimoto

Takayuki Sugimoto

Takayuki Shindo

Takayuki Saito

 

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Automated torso organ segmentation from 3D CT images using structured perceptron and dual decomposition., , , и . Medical Imaging: Computer-Aided Diagnosis, том 9414 из SPIE Proceedings, стр. 94143L. SPIE, (2015)Automated torso organ segmentation from 3D CT images using conditional random field., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9785 из SPIE Proceedings, стр. 97853M. SPIE, (2016)Automated Nomenclature of Bronchial Branches Extracted from CT Images and Its Application to Biopsy Path Planning in Virtual Bronchoscopy., , , , , , , , , и . MICCAI (2), том 3750 из Lecture Notes in Computer Science, стр. 854-861. Springer, (2005)Traceable Particle Swarm Optimization for Electromagnetically Navigated Bronchoscopy., , и . AE-CAI, том 7815 из Lecture Notes in Computer Science, стр. 105-116. Springer, (2012)Colonoscope tracking method based on shape estimation network., , , , , , , и . CoRR, (2020)A visual SLAM-based bronchoscope tracking scheme for bronchoscopic navigation., , , , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 15 (10): 1619-1630 (2020)Automated extraction of the aorta and the pulmonary artery in the mediastinum from 3D chest X-ray CT images using the medial line model., , , , и . CARS, том 1230 из International Congress Series, стр. 1160-1161. Elsevier, (2001)CAD system for quantitative evaluation of chronic obstructive pulmonary disease based on 3-D CT image., , , , , , и . CARS, том 1256 из International Congress Series, стр. 1049-1054. Elsevier, (2003)Bronchial orifice tracking-based branch level estimation for bronchoscopic navigation., , , , , , , , и . Medical Imaging: Image-Guided Procedures, том 12034 из SPIE Proceedings, SPIE, (2022)Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-Temporal Correspondence., , , , , и . MICCAI (9), том 14228 из Lecture Notes in Computer Science, стр. 429-439. Springer, (2023)