WITS: Weakly-supervised individual tooth segmentation model trained on box-level labels.
Pattern Recognit., 2023
MH-Net: Model-data-driven hybrid-fusion network for medical image segmentation.
Knowl. Based Syst., 2022
Level set framework with transcendental constraint for robust and fast image segmentation.
Pattern Recognit., 2021
Double level set segmentation model based on mutual exclusion of adjacent regions with application to brain MR images.
Knowl. Based Syst., 2021
Accurate and automatic tooth image segmentation model with deep convolutional neural networks and level set method.
Neurocomputing, 2021