US 12,272,071 B2
Scalable and high precision context-guided segmentation of histological structures including ducts/glands and lumen, cluster of ducts/glands, and individual nuclei in whole slide images of tissue samples from spatial multi-parameter cellular and sub-cellular imaging platforms
Srinivas C. Chennubhotla, Pittsburgh, PA (US); Om Choudhary, Pittsburgh, PA (US); Akif Burak Tosun, Pittsburgh, PA (US); and Jeffrey Fine, Pittsburgh, PA (US)
Assigned to University of Pittsburgh—Of The Commonwealth System of Higher Education, Pittsburgh, PA (US)
Appl. No. 17/909,891
Filed by University of Pittsburgh-Of the Commonwealth System of Higher Education, Pittsburgh, PA (US)
PCT Filed Mar. 16, 2021, PCT No. PCT/US2021/022470
§ 371(c)(1), (2) Date Sep. 7, 2022,
PCT Pub. No. WO2021/188477, PCT Pub. Date Sep. 23, 2021.
Claims priority of provisional application 62/990,264, filed on Mar. 16, 2020.
Prior Publication US 2023/0096719 A1, Mar. 30, 2023
Int. Cl. G06T 7/00 (2017.01); G06T 7/12 (2017.01); G06T 7/143 (2017.01); G06T 7/149 (2017.01); G06V 10/70 (2022.01); G06V 20/69 (2022.01); G06V 10/52 (2022.01)
CPC G06T 7/143 (2017.01) [G06T 7/0012 (2013.01); G06T 7/12 (2017.01); G06T 7/149 (2017.01); G06V 10/70 (2022.01); G06V 20/695 (2022.01); G06T 2207/20016 (2013.01); G06T 2207/20116 (2013.01); G06T 2207/30024 (2013.01); G06V 10/52 (2022.01)] 23 Claims
OG exemplary drawing
 
1. A method of segmenting one or more histological structures in a tissue image represented by multi-parameter cellular and sub-cellular imaging data, the method comprising:
receiving coarsest level image data for the tissue image, wherein the coarsest level image data corresponds to a coarsest level of a multiscale representation of first data corresponding to the multi-parameter cellular and sub-cellular imaging data;
breaking the coarsest level image data into a plurality of non-overlapping superpixels;
assigning each superpixel a probability of belonging to the one or more histological structures using a number of pre-trained machine learning algorithms to create a probability map;
extracting an estimate of a boundary for the one or more histological structures by applying a contour algorithm to the probability map; and
using the estimate of the boundary to generate a refined boundary for the one or more histological structures.