• Patent Title: Systems and methods for automated detection of visual objects in medical images
  • Application No.: US17260268
    Application Date: 2019-06-27
  • Publication No.: US11776243B2
    Publication Date: 2023-10-03
  • Inventor: Amir Bar
  • Applicant: Nano-X AI Ltd.
  • Applicant Address: IL Shefayim
  • Assignee: Nano-X AI Ltd.
  • Current Assignee: Nano-X AI Ltd.
  • Current Assignee Address: IL Shefayim
  • International Application: PCT/IL2019/050714 2019.06.27
  • International Announcement: WO2020/026223A 2020.02.06
  • Date entered country: 2021-01-14
  • Main IPC: G06V10/82
  • IPC: G06V10/82 G06T7/62 G06T7/11 G06F18/24 G06F18/214 G06V10/764
Systems and methods for automated detection of visual objects in medical images
Abstract:
There is provided a computer implemented method for identification of an indication of visual object(s) in anatomical image(s) of a target individual, comprising: providing anatomical image(s) of a body portion of a target individual, inputting the anatomical image(s) into a classification component of a neural network (NN) and into a segmentation component of the NN, feeding a size feature into the classification component of the NN, wherein the size feature comprises an indication of a respective size of each segmented visual object identified in the anatomical image(s), the size feature computed according to segmentation data outputted by the segmentation component for each pixel element of the anatomical image(s), and computing, by the classification component of the NN, an indication of visual object(s) in the anatomical image(s).
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