1. A method for automatic detection of lung nodules, comprising: inputting data from a computed tomography (CT) image; segmenting the image to acquire one or more lung regions; intensity thresholding the one or more lung regions to generate a mask region comprising one or more high-intensity regions corresponding to anatomical structures within the one or more lung regions; computing a Euclidean distance map of the mask region; performing watershed segmentation of the Euclidean distance map to generate one or more sub-regions; identifying a seed point for each sub region of the one or more sub-regions; growing one or more candidate regions from the seed point of each sub-region; and classifying one or more candidate regions as a lung nodule based on one or more geometric features of the one or more candidate regions.