Assessing kidney stone composition using deep learning

被引：1
|
作者：
Stone, Louise
机构：
[1] Nature Reviews Urology,
来源：
NATURE REVIEWS UROLOGY | 2020年 / 17卷 / 04期
关键词：
D O I：
10.1038/s41585-020-0301-4
中图分类号：
R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页码：193 / 193
页数：1
相关论文
共 50 条
  • [1] Assessing kidney stone composition using deep learning
    Louise Stone
    [J]. Nature Reviews Urology, 2020, 17 : 192 - 193
  • [2] Assessing kidney stone composition using smartphone microscopy and deep neural networks
    Onal, Ege Gungor
    Tekgul, Hakan
    [J]. BJUI COMPASS, 2022, 3 (04): : 310 - 315
  • [3] Deep learning computer vision algorithm for detecting kidney stone composition
    Black, Kristian M.
    Law, Hei
    Aldoukhi, Ali
    Deng, Jia
    Ghani, Khurshid R.
    [J]. BJU INTERNATIONAL, 2020, 125 (06) : 920 - 924
  • [4] Kidney stone classification using deep learning neural network
    Vasudeva, Nisha
    Sharma, Vivek Kumar
    Sharma, Shashi
    Sharma, Ravi Shankar
    Sharma, Satyajeet
    Sharma, Gajanand
    [J]. JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY, 2023, 26 (05): : 1393 - 1401
  • [5] Comment on "Deep learning computer vision algorithm for detecting kidney stone composition"
    He, ZhiCan
    An, LingYue
    Chang, ZhengLin
    Wu, WenQi
    [J]. WORLD JOURNAL OF UROLOGY, 2021, 39 (01) : 291 - 291
  • [6] Comment on “Deep learning computer vision algorithm for detecting kidney stone composition”
    ZhiCan He
    LingYue An
    ZhengLin Chang
    WenQi Wu
    [J]. World Journal of Urology, 2021, 39 : 291 - 291
  • [7] DEEP LEARNING COMPUTER VISION ALGORITHM FOR DETECTING KIDNEY STONE COMPOSITION: TOWARDS AN AUTOMATED FUTURE
    Aldoukhi, Ali H.
    Law, Hei
    Black, Kristian M.
    Roberts, William W.
    Deng, Jia
    Ghani, Khurshid R.
    [J]. JOURNAL OF UROLOGY, 2019, 201 (04): : E75 - E76
  • [8] Deep learning model for automated kidney stone detection using coronal CT images
    Yildirim, Kadir
    Bozdag, Pinar Gundogan
    Talo, Muhammed
    Yildirim, Ozal
    Karabatak, Murat
    Acharya, U. Rajendra
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 135
  • [9] Prediction of chemical composition of urinary stone through deep learning
    Kim, U. S.
    Kwon, H. S.
    Yang, W. J.
    Lee, W. C.
    Choi, C., I
    Kim, J. K.
    Lee, S. H.
    Han, J. H.
    [J]. EUROPEAN UROLOGY, 2022, 81 : S1366 - S1366
  • [10] PREDICTION OF CHEMICAL COMPOSITION OF URINARY STONE THROUGH DEEP LEARNING
    Kim, Ui Seok
    Kwon, Hyo Sang
    Yang, Wonjong
    Lee, Wonchul
    Choi, Changil
    Kim, Jong Keun
    Lee, Seong Ho
    Han, Jun Hyun
    [J]. JOURNAL OF UROLOGY, 2022, 207 (05): : E947 - E948
12345