Voxel level dense prediction of acute stroke territory in DWI using deep learning segmentation models and image enhancement strategies.

Voxel wise dense prediction coupled with bias field correction to eliminate artificial signal increase and registration to a common space help models for better performance than using original images. Knowing the properties of target domain while designing deep learning models is important for the overall success of these models.