Identification of kidney stone types by deep learning integrated with radiomics features

被引:0
|
作者
Sun, Chao [1 ]
Ni, Jun [1 ]
Liu, Jianhe [2 ]
Li, Huafeng [3 ]
Tao, Dapeng [1 ]
机构
[1] School of Information, Yunnan University, Kunming,650500, China
[2] Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming,650500, China
[3] Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming,650500, China
关键词
D O I
10.7507/1001-5515.202310043
中图分类号
学科分类号
摘要
30
引用
收藏
页码:1213 / 1220
相关论文
共 50 条
  • [21] Lung Cancer and Granuloma Identification Using a Deep Learning Model to Extract 3-Dimensional Radiomics Features in CT Imaging
    Lin, Xiaofeng
    Jiao, Han
    Pang, Zhiyong
    Chen, Huai
    Wu, Weijie
    Wang, Xiaoyi
    Xiong, Lang
    Chen, Biyun
    Huang, Yihua
    Li, Sheng
    Li, Li
    CLINICAL LUNG CANCER, 2021, 22 (05) : E756 - E766
  • [22] Deep learning for part identification based on inherent features
    Krueger, Joerg
    Lehr, Jan
    Schlueter, Marian
    Bischoff, Nils
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2019, 68 (01) : 9 - 12
  • [23] Deep learning radiomics based on ultrasound images for the assisted diagnosis of chronic kidney disease
    Tian, Shuyuan
    Yu, Yonghong
    Shi, Kangjian
    Jiang, Yunwen
    Song, Huachun
    Wang, Yuting
    Yan, Xiaoqian
    Zhong, Yu
    Shao, Guoliang
    NEPHROLOGY, 2024, 29 (11) : 748 - 757
  • [24] Unsupervised Contrastive Learning of Radiomics and Deep Features for Label-Efficient Tumor Classification
    Zhao, Ziteng
    Yang, Guanyu
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT II, 2021, 12902 : 252 - 261
  • [25] Integrating Deep Transfer Learning and Radiomics Features in Glioblastoma Multiforme Patient Survival Prediction
    Han, Wei
    Qin, Lei
    Bay, Camden
    Chen, Xin
    Yu, Kun-Hsing
    Li, Angie
    Xu, Xiaoyin
    Young, Geoffrey S.
    MEDICAL IMAGING 2020: IMAGE PROCESSING, 2021, 11313
  • [26] Integrating deep and radiomics features in cancer bioimaging
    Bizzego, A.
    Bussola, N.
    Salvalai, D.
    Chierici, M.
    Maggio, V.
    Jurman, G.
    Furlanello, C.
    2019 16TH IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY - CIBCB 2019, 2019, : 19 - 26
  • [27] Identification of 12 cancer types through genome deep learning
    Sun, Yingshuai
    Zhu, Sitao
    Ma, Kailong
    Liu, Weiqing
    Yue, Yao
    Hu, Gang
    Lu, Huifang
    Chen, Wenbin
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [28] Identification of 12 cancer types through genome deep learning
    Yingshuai Sun
    Sitao Zhu
    Kailong Ma
    Weiqing Liu
    Yao Yue
    Gang Hu
    Huifang Lu
    Wenbin Chen
    Scientific Reports, 9
  • [29] Radiomics and Deep Learning: Hepatic Applications
    Park, Hyo Jung
    Park, Bumwoo
    Lee, Seung Soo
    KOREAN JOURNAL OF RADIOLOGY, 2020, 21 (04) : 387 - 401
  • [30] Comment on "Deep learning computer vision algorithm for detecting kidney stone composition"
    He, ZhiCan
    An, LingYue
    Chang, ZhengLin
    Wu, WenQi
    WORLD JOURNAL OF UROLOGY, 2021, 39 (01) : 291 - 291