Object detection using one or more neural networks

A system comprising:

• one or more processors to be configured to generate a segmentation mask using one or more neural networks trained, at least in part using a plurality of points of an object in an image;
• and
• one or more memories to store the one or more neural networks.

A method comprising:

• detecting, using one or more neural networks, one or more objects in an image based, at least in part, on one or more pseudo-labels corresponding to the one or more objects.

A machine-readable medium having stored thereon a set of instructions, which if performed by one or more processors, cause the one or more processors to at least:

• generate a segmentation mask using one or more neural networks trained, at least in part, using a plurality of points of an object in an image.

A medical imaging system, comprising:

• an image capture system for capturing image data including a representation of an object of interest;
• and
• one or more processors to be configured to generate a segmentation mask using one or more neural networks trained, at least in part using a plurality of points of the object in an image captured by the image capture system.

A processor comprising:

• one or more arithmetic logic units (ALUs) to train one or more neural networks to generate a segmentation, at least in part, using a plurality of points of an object in an image.