US 11,776,115 B2
System and method for estimating a quantity of interest based on an image of a histological section
Jean-Claude Gilhodes, Marseilles (FR); Yvon Julé, Marseilles (FR); and Tomi Florent, Marseilles (FR)
Assigned to BIOCELLVIA, Marseilles (FR)
Filed by Biocellvia, Marseilles (FR)
Filed on Jan. 18, 2019, as Appl. No. 16/251,730.
Claims priority of provisional application 62/619,447, filed on Jan. 19, 2018.
Prior Publication US 2019/0228260 A1, Jul. 25, 2019
Int. Cl. G06T 7/00 (2017.01); G06T 7/136 (2017.01); G06T 7/13 (2017.01); G06T 11/00 (2006.01); G06T 7/62 (2017.01); G06V 10/50 (2022.01); G06V 20/69 (2022.01); G06F 18/211 (2023.01); G06F 18/2431 (2023.01)
CPC G06T 7/0012 (2013.01) [G06F 18/211 (2023.01); G06F 18/2431 (2023.01); G06T 7/13 (2017.01); G06T 7/136 (2017.01); G06T 7/62 (2017.01); G06T 11/001 (2013.01); G06V 10/50 (2022.01); G06V 20/695 (2022.01); G06T 2207/20072 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30101 (2013.01); G06T 2207/30242 (2013.01); G06V 2201/031 (2022.01)] 16 Claims
OG exemplary drawing
 
1. A method for determining a quantity of interest related to the density of organic tissue, comprising:
obtaining a digital microscopic representation of a histological section after removal of a sample of the organic tissue;
converting the digital representation to a binary image, to discriminate pixels that represent tissue of interest in the image;
iteratively applying a box filter to values of the pixels of interest to obtain a tissue density value for each pixel of interest;
calculating a number of pixels per section of values among a predetermined number of classes to express a frequency of high parenchymal densities, wherein an expression of the frequency of high parenchymal densities is a computed quantity of interest; and
presenting a tangible representation of at least the quantity of interest.