Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning.

Our generalized semiautomatic segmentation model could label unseen three types of lesion with different contrasts from the surroundings. In addition, the resized VOI as the input image enables the adaptation to the various sizes of lesions even when the size distribution differed between the training set and the test set.