王艺培;闫雯;张益肇;来茂德;许燕;

• 1:北京航空航天大学生物医学与工程学院
• 2:微软亚洲研究院
• 3:微软亚洲研究院技术战略部
• 4:德国科学院

摘要(Abstract)：

目前,人工智能赋能医疗领域的场景主要表现在:虚拟助理、医学影像、辅助诊疗、疾病风险预测、药物挖掘、健康管理、医院管理、辅助医学研究报告等模块,其中,医学影像无疑是当前最热门和有所突破的应用场景。基于人工智能技术实现以医学图像为介质的精准医疗的研究有着不可估量的研究意义。本文将以医学图像分析为切入点,阐述基于人工智能实现对包含医学影像和病理切片在内的多种医学图像进行深入信息挖掘和疾病诊断的精准医疗研究,并提出对未来研究方向的展望。

关键词(KeyWords)：

Abstract:

Keywords:

基金项目(Foundation):

作者(Authors): 王艺培;闫雯;张益肇;来茂德;许燕;

DOI: 10.16453/j.cnki.issn2096-5036.2018.04.004

参考文献(References)：

• [1]徐鹏辉.美国启动精准医疗计划[J].世界复合医学,2015,(1):44-6.
• [2]陆宇,杨冰柯.中国酝酿“精准医学”或入国家“十三五”科技规划[J].医院领导决策参考,2015,(10):19-22.
• [3]Breshears M A.Book Review:Rubin's Pathology:Clinicopathologic Foundations of Medicine[J].Veterinary Pathology,2008,45(2):283-283.
• [4]Irshad H,Veillard A,Roux L,et al.Methods for Nuclei Detection,Segmentation,and Classification in Digital Histopathology:A Review-Current Status and Future Potential[J].IEEE Reviews in Biomedical Engineering,2014,7(1-5):97-114.
• [5]Alexe G,Dalgin G S,Scanfeld D,et al.High Expression of Lymphocyte-Associated Genes in Node-Negative HER2+Breast Cancers Correlates with Lower Recurrence Rates[J].Cancer Research,2007,67(22):10669.
• [6]Elston C W,Ellis I O.Pathological Prognostic Factors in Breast Cancer.I.The value of Histological Grade in Breast Cancer:Experience from a Large Study with Long Term Follow-up[J].Histopathology,2010,19(5):403-410.
• [7]Cire?an D C,Giusti A,Gambardella L M,et al.Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks[C]//International Conference on Medical Image Computing and Computer-assisted Intervention.Springer,Berlin,Heidelberg,2013:411-418.
• [8]Xu J,Xiang L,Liu Q,et al.Stacked Sparse Autoencoder(SSAE)for Nuclei Detection on Breast Cancer Histopathology images[J].IEEE Transactions on Medical Imaging,2016,35(1):119-130.
• [9]Sirinukunwattana K,Shan E A R,Tsang Y W,et al.Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images[J].IEEE Transactions on Medical Imaging,2016,35(5):1196-1206.
• [10]Chen H,Dou Q,Wang X,et al.Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks[C]//Thirtieth AAAI Conference on Artificial Intelligence.AAAI,2016:1160-1166.
• [11]Chen H,Qi X,Yu L,et al.DCAN:Deep Contour-aware Networks for Accurate Gland Segmentation[C]//Proceedings of the IEEE conference on Computer Vision and Pattern Recognition.IEEE,2016:2487-2496.
• [12]Kainz P,Pfeiffer M,Urschler M.Semantic Segmentation of Colon Glands with Deep Convolutional Neural Networks and Total Variation Segmentation[J].Computer Science,2015.
• [13]Ronneberger O,Fischer P,Brox T.U-net:Convolutional Networks for bBomedical Image Segmentation[C]//International Conference on Medical Image Computing and Computer-assisted Intervention.Springer,Cham,2015:234-241.
• [14]Xu Y,Li Y,Liu M,et al.Gland Instance Segmentation by Deep Multichannel Side Supervision[J].IEEE Transactions on Biomedical Engineering,2017,64(12):2901-2912.
• [15]Ertosun M G,Rubin D L.Automated Grading of Gliomas using Deep Learning in Digital Pathology Images:A Modular Approach with Ensemble of Convolutional Neural Networks.[J].AMIA.Annual Symposium Proceedings,2015:1899.
• [16]Spanhol F A,Oliveira L S,Petitjean C,et al.Breast Cancer Histopathological Image Classification using Convolutional Neural Networks[C]//International Joint Conference on Neural Networks.IEEE,2016:2560-2567.
• [17]Doyle S,Hwang M,Shah K,et al.Automated Grading of Prostate Cancer using Architectural and Textural Image Features[C]//4th IEEE International Symposium on Biomedical Imaging:From Nano to Macro.IEEE,2007:1284-1287.
• [18]Wan T,Cao J,Chen J,et al.Automated Grading of Breast Cancer Histopathology using Cascaded Ensemble with Combination of Multi-level Image Features[J].Neurocomputing,2017,229:34-44.
• [19]Menon N,Ramakrishnan R.Brain Tumor Segmentation in MRI Images using Unsupervised Artificial Bee Colony algorithm and FCM clustering[C]//International Conference on Communications and Signal Processing.IEEE,2015:0006-0009.
• [20]Pereira S,Pinto A,Alves V,et al.Brain Tumor Segmentation using Convolutional Neural Networks in MRI Images[J].IEEE Transactions on Medical Imaging,2016,35(5):1240-1251.
• [21]Havaei M,Davy A,Warde-Farley D,et al.Brain Tumor Segmentation with Deep Neural Networks[J].Medical Image Analysis,2017,35:18-31.
• [22]Sokooti H,Vos B D,Berendsen F,et al.Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention.Springer,Cham,2017:232-239.
• [23]Wu G,Kim M,Wang Q,et al.Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images[J].Med Image Comput Comput Assist Interv,2013,16(Pt 2):649-656.
• [24]Shan S,Guo X,Yan W,et al.Unsupervised End-to-end Learning for Deformable Medical Image Registration[J].arXiv preprint arXiv:1711.08608,2017.