| 基于深度学习的癌症计算机辅助分类诊断研究进展 |
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| 引用本文： | 肖焕辉,袁程朗,冯仕庭,罗宴吉,黄炳升.基于深度学习的癌症计算机辅助分类诊断研究进展[J].国际医学放射学杂志,2019,42(1):22-25,58. |
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| 作者姓名： | 肖焕辉 袁程朗 冯仕庭 罗宴吉 黄炳升 |
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| 作者单位： | 深圳大学医学部生物医学工程学院,深圳,518060;中山大学附属第一医院放射科 |
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| 基金项目： | 深圳市科技计划项目（JCYJ20160307114900292）；广东省大学生创新训练计划项目（201810590030）；腾讯“犀牛鸟”-深圳大学青年教师科研基金项目 |
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| 摘 要： | 近年来,基于深度学习的医学影像分类研究迅猛发展,已成为癌症计算机辅助诊断(CAD)领域的研究热点。目前,基于公开数据库(如LIDC、INbreast、DDSM公共数据库)进行的研究中,对肺结节良恶性分类研究、乳腺病灶的良恶性鉴别诊断的研究报道较为全面。对基于深度学习的肺CT图像、乳腺X线摄影图像的癌症计算机辅助分类诊断研究进展予以综述。
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| 关 键 词： | 深度学习 肺癌 乳腺癌 计算机辅助分类诊断 医学影像 |
Research progress of computer aided diagnosis in cancer based on deep learning |
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| XIAO Huanhui,YUAN Chenglang,FENG Shiting,LUO Yanji,HUANG Bingsheng.Research progress of computer aided diagnosis in cancer based on deep learning[J].International Journal of Medical Radiology,2019,42(1):22-25,58. |
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| Authors: | XIAO Huanhui YUAN Chenglang FENG Shiting LUO Yanji HUANG Bingsheng |
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| Institution: | (School of Biomedical Engineering,Health Science Center,Shenzhen University,Shenzhen 518060,China;Department of Radiology,First Affiliated Hospital of Sun Yat-sen University) |
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| Abstract: | In recent years, medical image classification research based on deep learning has shown rapid development, and has became a hot topic in cancer computer aided diagnosis (CAD) research. Currently, based on public databases, the classification of benign and malignant pulmonary nodules and the differential diagnosis of benign and malignant breast lesions have been comprehensively reported. In this review, we summarizes the current advances in the deep learning based computer aided classification diagnosis of lung cancer with CT images and of breast cancer with mammography images. |
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| Keywords: | Deep learning Lung cancer Breast cancer Computer aided classification diagnosis Medical Image |
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