Machine learning image processing techniques

A system, comprising:

• at least one computer hardware processor;
• and
• at least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one computer hardware processor, cause the at least one computer hardware processor to perform:
• obtaining at least one multiplexed immunofluorescence (MxIF) image of a same tissue sample;
• obtaining, using a machine learning technique, information indicative of locations of cells in the MxIF image;
• identifying multiple groups of cells in the at least one MxIF image at least in part by:
• determining feature values for at least some of the cells using the at least one MxIF image and the information indicative of locations of cells;
• and
• grouping the at least some of the cells into the multiple groups using the determined feature values;
• and
• determining at least one characteristic of the tissue sample using the multiple groups.

At least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by at least one computer hardware processor, cause the at least one computer hardware processor to perform:

• obtaining at least one multiplexed immunofluorescence (MxIF) image of a same tissue sample;
• obtaining, using a machine learning technique, information indicative of locations of cells in the MxIF image;
• identifying multiple groups of cells in the at least one MxIF image at least in part by:
• determining feature values for at least some of the cells using the at least one MxIF image and the information indicative of locations of cells in the at least one MxIF image;
• and
• grouping the at least some of the cells into the multiple groups using the determined feature values;
• and
• determining at least one characteristic of the tissue sample using the multiple groups.

A method, comprising:

• using at least one computer hardware processor to perform:
• obtaining at least one MxIF image of a tissue sample;
• obtaining, using a machine learning technique, information indicative of a location of at least one cell in the at least one MxIF image;
• determining a marker expression signature for the cell in the tissue sample based on a plurality of markers expressed in the at least one MxIF image and the information indicative of the location of the cell in the at least one MxIF image;
• and
• comparing the marker expression signature to cell typing data that comprises at least one marker expression signature for a plurality of different types of cells to determine a cell type for the cell.