2. The method of claim 1 , wherein the at least one image segment includes a plurality of image segments, wherein the image segment is a first image segment, wherein the confidence score is a first confidence score, wherein the region of the image is a first region of the image and wherein the method further comprises: determining a second segmentation score for a second image segment included in the plurality of image segments based on a comparison of the second image segment and a second region of the image, the second region of the image associated with the second image segment; and determining a second confidence score for the second image segment based on the second segmentation score and a second classification score, the second classification score indicative of a similarity between the second image segment and the at least one class.
2. The method of claim 1 , wherein the at least one image segment includes a plurality of image segments, wherein the image segment is a first image segment, wherein the confidence score is a first confidence score, wherein the region of the image is a first region of the image and wherein the method further comprises: determining a second segmentation score for a second image segment included in the plurality of image segments based on a comparison of the second image segment and a second region of the image, the second region of the image associated with the second image segment; and determining a second confidence score for the second image segment based on the second segmentation score and a second classification score, the second classification score indicative of a similarity between the second image segment and the at least one class. 4. The method of claim 2 , further comprising generating the first image segment and the second image segment based on a first segmentation and a second segmentation, respectively, of substantially the same region of the image.