Algorithm 1: ASSRG

Input: ‘IL’— Either right or left lung region  Output: Lobe that is segmented Choose the single seed pixel location and image intensity. Give ‘IL’ as input. Determine the central pixel. Determine whether the region with an intensity threshold less than 40 repre-sents air in the lung. Find whether the high number of neighbours are dark regions. In maximum cases of dark regions, take that pixel as the seed location and intensity. Otherwise, develop the middle pixel iteratively in all directions. Redo steps (c), (d), and (e). Determine adjacent pixels based on the difference found between the adjoining pixels and the seed intensity if it is less than the threshold. Add that adjacent position to ex-tract the region of interest (lung lobe). Develop seed areas by incorporating neighbouring pixels that fulfil the comparison rule. Redo step 2 intended for every fresh pixel; halt if no neighbouring pixels are involved with the region of interest. Output the segmented lung lobe (right or left) region. The algorithm divides the lobe with a precise edge for remote nodules. For juxtavas-cular or juxtapleural nodules, it produces a lobe edge with concavity.