US 11,776,243 B2
Systems and methods for automated detection of visual objects in medical images
Amir Bar, Berkeley, CA (US)
Assigned to Nano-X AI Ltd., Shefayim (IL)
Appl. No. 17/260,268
Filed by Nano-X AI Ltd., Shefayim (IL)
PCT Filed Jun. 27, 2019, PCT No. PCT/IL2019/050714
§ 371(c)(1), (2) Date Jan. 14, 2021,
PCT Pub. No. WO2020/026223, PCT Pub. Date Feb. 6, 2020.
Claims priority of provisional application 62/711,535, filed on Jul. 29, 2018.
Prior Publication US 2021/0295108 A1, Sep. 23, 2021
Int. Cl. G06V 10/82 (2022.01); G06T 7/62 (2017.01); G06T 7/11 (2017.01); G06F 18/24 (2023.01); G06F 18/214 (2023.01); G06V 10/764 (2022.01)
CPC G06V 10/82 (2022.01) [G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06T 7/11 (2017.01); G06T 7/62 (2017.01); G06V 10/764 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30008 (2013.01); G06T 2207/30028 (2013.01); G06T 2207/30052 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01); G06V 2201/032 (2022.01)] 16 Claims
OG exemplary drawing
 
1. A computer implemented method for identification of an indication of at least one visual object in at least one anatomical image of a target individual, comprising:
providing at least one anatomical image of a body portion of a target individual;
inputting the at least one anatomical image 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 at least one segmented visual object identified in the at least one anatomical image, the size feature computed according to segmentation data outputted by the segmentation component for each pixel element of the at least one anatomical image,
wherein the size feature is computed by multiplying each of a plurality of per pixel element segmentation probabilities outputted by the segmentation component, by a volume associated with each pixel element to compute a plurality of sub-volumes, and summing the plurality of sub-volumes, wherein each segmentation probability is indicative of a respective probability of the respective pixel element indicative of the at least one visual object; and
computing, by the classification component of the NN, an indication of at least one visual object in the at least one anatomical image.