1. An apparatus, comprising: at least one processor, configured to: generate a candidate lesion list comprising at least one candidate lesion based on examination information, and a first segmentation result from a medical image using a first segmentation parameter for the at least one candidate lesion, the examination information comprising at least one of a name and a purpose of an examination to be conducted using the medical image; and determine at least one target lesion to segment from among the candidate lesion list based on the first segmentation result, and generate a second segmentation result using a second segmentation parameter to segment the at least one target lesion, wherein each of the first segmentation parameter and the second segmentation parameter comprises at least one of a slope term, a region term, and a filtering term, wherein the slope term is an amount of stress in a slop in a medical image, the region term distinguishes a lesion region from a non-lesion region, and the filtering term indicates an amount of white noise to be removed from the surroundings of a surface, and wherein the second segmentation parameter comprises subdivided sets defined by adjusting a value of at least one of the slop term, the region term, and the filtering term.