Analysis of in-vivo images using connected graph components

A method for analyzing images, comprising:

• accessing a plurality of in-vivo images of at least a portion of a gastrointestinal tract, the plurality of in-vivo images designated as including a pathology indicator;
• forming a connected graph component based on the plurality of in-vivo images, the connected graph component comprising at least two images of the plurality of in-vivo images connected based on at least one indication that the at least two images contain a same occurrence of the pathology indicator;
• processing the connected graph component with a machine learning model to provide a score indicative of whether the at least two images contain the same occurrence of the pathology indicator;
• and
• associating the score with the at least two images for a presentation to a reviewer of the at least two images.

A non-transitory processor-readable medium storing instructions which, when executed by at least one processor of a system, cause the system to:

• access a plurality of in-vivo images of at least a portion of a gastrointestinal tract, the plurality of in-vivo images designated as containing a pathology indicator,
• form a connected graph component based on the plurality of in-vivo images, the connected graph component comprising at least two images of the plurality of in-vivo images connected based on at least one indication that the at least two images contain a same occurrence of the pathology indicator,
• process the connected graph component with a machine learning model to provide a score indicative of whether the at least two images contain the same occurrence of the pathology indicator, and
• associate the score with the at least two images for a presentation to a reviewer of the at least two images.