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Diagnosis of Lung Cancer Using Endobronchial Ultrasonography Image Based on Multi-Scale Image and Multi-Feature Fusion Framework.

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第一作者： Huitao,Wang

第一单位： Department of Medical Engineering, Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan.

作者： Huitao,Wang ^[1] ; Takahiro,Nakajima ^[2] ; Kohei,Shikano ^[3] ; Yukihiro,Nomura ^[4] ; Toshiya,Nakaguchi ^[4]

作者单位： Department of Medical Engineering, Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan. ^[1] Department of General Thoracic Surgery, Dokkyo Medical University, Mibu 321-0293, Japan. ^[2] Department of Respirology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan. ^[3] Center for Frontier Medical Engineering, Chiba University, Chiba 263-8522, Japan. ^[4]

关键词 convolutional neural network deep learning endobronchial ultrasonography (EBUS)lung cancer multi-feature fusion multi-scale image

主题词人类(Humans);肺肿瘤(Lung Neoplasms);腔内超声检查(Endosonography);男(雄)性(Male);女(雌)性(Female);诊断, 计算机辅助(Diagnosis, Computer-Assisted);中年人(Middle Aged);敏感性与特异性(Sensitivity and Specificity);老年人(Aged);算法(Algorithms);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted);肺(Lung);癌症早期检测(Early Detection of Cancer)

DOI 10.3390/tomography11030024

PMID 40137564

发布时间 2025-05-14

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Tomography (Ann Arbor, Mich.)

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Diagnosis of Lung Cancer Using Endobronchial Ultrasonography Image Based on Multi-Scale Image and Multi-Feature Fusion Framework.

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Diagnosis of Lung Cancer Using Endobronchial Ultrasonography Image Based on Multi-Scale Image and Multi-Feature Fusion Framework.

Tomography (Ann Arbor, Mich.)

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Tomography (Ann Arbor, Mich.)

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