• Convolutional neural network can be used for obtaining high- dimensional images rather than being used in class prediction for logistic regression or value prediction for regression problem

• Output of the CNN model can be a tensor S(i,j,k) which represent the pixel(j,k) of ith class, such a collaborative effort can be used to precisely form a perfect image as the output.

Strategies to get output dimension same as the input are

• Pooling is completely avoided or can use pooling with unit stride.

• Pixel-wise labelling involves initial guess of image pixels and refining this guess by interacting with neighboring pixels by parameter sharing.