Select Language

AI社区

公开数据集

肩部植入物X射线制造商分类数据集

肩部植入物X射线制造商分类数据集

6M
377 浏览
0 喜欢
1 次下载
0 条讨论
Life Classification

Kazunori Okada, kazokada '@' sfsu.edu, BIDAL: Biomedical Image and Data Analyses Lab, Department of Computer Sci......

数据结构 ? 6M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Kazunori Okada, kazokada '@' sfsu.edu, BIDAL: Biomedical Image and Data Analyses Lab, Department of Computer Science, San Francisco State University
    Maya Belen Stark, maya.b.stark '@' gmail.com, BIDAL: Biomedical Image and Data Analyses Lab, Department of Computer Science, San Francisco State University
    Brian Feeley, brian.feeley '@' ucsf.edu, Department of Orthopedic Surgery, University of California, San Francisco


    Data Set Information:

    Images were collected by Maya Stark at BIDAL Lab at SFSU for her MS thesis project. They are from The UW Shoulder Site ([Web link]), manufacturer websites, and Feeley Lab at UCSF. The original collection included 605 X-ray images. Eight images that appeared to have been taken from the same patients were removed, resulting in the final 597 images. The final set contains images from the following manufacturers: 83 from Cofield, 294 from Depuy, 71 from Tornier, and 149 from Zimmer, resulting in a 4-class classification problem. Class labels are provided as the manufacturer name in file names.


    Attribute Information:

    Images are with 8-bit grayscale and various dimensions in jpeg format.


    Relevant Papers:

    1) Maya Belen Stark, Automatic detection and segmentation of shoulder implants in X-ray images, MS thesis, San Francisco State University, 2018, [Web link]
    2) Gregor Urban, Saman Porhemmat, Maya Stark, Brian Feeley, Kazunori Okada, Pierre Baldi, Classifying Shoulder Implants in X-ray Images using Deep Learning, Computational and Structural Biotechnology Journal, 2020: e-pub: [Web link]



    Citation Request:

    When using this data, please cite above two relevant publications of Stark et al. (2018) and Urban et al. (2020).

    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:6 去赚积分?
    • 377浏览
    • 1下载
    • 0点赞
    • 收藏
    • 分享