1. A method for identification of red pathologies in in-vivo images, the method comprising: receiving an image captured in-vivo; identifying candidate pathology regions in the image by identifying red regions in the image; identifying one or more features indicative of the probability of pathology in said candidate regions by applying on the image a set of analyses, each analysis for identifying a feature indicative of the probability of pathology, wherein said set of analyses comprises at least one analysis for identifying a physical feature causing false identification of apparent red regions in the image, and identification of said feature in positional relation to a candidate region in the image is indicative of low probability of pathology depicted by said candidate, wherein said physical feature is a bubble, and said at least one analysis comprises identifying whiteness features in the perimeter of a candidate region; and calculating an image score for said image based on said one or more identified features, said image score indicative of existence in the image of at least one candidate region with high probability of pathology, wherein calculating an image score comprises calculating a candidate score for at least one identified candidate region based on said features, said candidate score indicative of the probability of pathology being imaged in said candidate region, wherein said image score corresponds to the candidate score of the candidate region with the highest probability of pathology in the image.