Deep investigation of the trained RF reveals that the nature of problem demands to define different weights for the points belonging to healthy or damaged tissue. In this work a weight assigning strategy is followed in which the weights are initially assigned to the training instances and then they are updated iteratively in accordance to the distance from their correspondences in the target model. Thus, in each iteration, each point is assigned a weight that is proportional to the distance from its corresponding point of the target. This proposed iterative approach, called adaptive weighting, continues until either a fixed number of number of iteration is reached (in this case 100), or the OF is not satisfied within three consecutive iterations.