Shear-net is a deep learning based shear-wave elastography image reconstruction technique. The different color patterns is generated using a velocity or stiffness map that can assist clinicians to differentiate normal tissue from a tumor. It is the first ever deep learning model to reconstruct elastography images from a SHEAR-wave simulation in a phantom lesion.