基于知识图谱和卷积神经网络的医学智能诊断
摘要
人工智能技术在医学中的应用提供了一些参考。
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[1]. Mansoor A, Cerrolaza J J, Idrees R, et al. Deep learning guided
partitioned shape model for anterior visual pathway segmentation[J].
IEEE transactions on medical imaging, 2016, 35(8): 1856-1865.
[2]Moriya T, Roth H R, Nakamura S, et al. Unsupervised
segmentation of 3D medical images based on clustering and deep
representation learning[C]//Medical Imaging 2018: Biomedical
Applications in Molecular, Structural, and Functional Imaging.
International Society for Optics and Photonics, 2018, 10578: 1057820.
[3]Bao S, Chung A C S. Multi-scale structured CNN with label
consistency for brain MR image segmentation[J]. Computer Methods in
Biomechanics and Biomedical Engineering: Imaging & Visualization,
2018, 6(1): 113-117.作者简介:尹黎(1987-),女,江苏省泰兴市(籍贯),医师,硕
士(学历),研究方向:人工智能 医学诊断与治疗 图像分析与处理
单位邮编400030
基金资助:重庆市沙坪坝区科学技术委员会重庆市沙坪坝区政
策咨询与管理创新项目,编号:(Jcd201962) 。
DOI: http://dx.doi.org/10.18686/yxyj.v2i3.21418
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