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eess.IV2023
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained Datasets
Can Li, Sheng Shao, Junyi Qu +2
Machine learning models for medical images can help physicians diagnose and manage diseases. However, due to the fact that medical image annotation requires a great deal of manpowe…
eess.IV2020★ 3 cited
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation
Shuchao Pang, Anan Du, Mehmet A. Orgun +5
Automatic tumor segmentation is a crucial step in medical image analysis for computer-aided diagnosis. Although the existing methods based on convolutional neural networks (CNNs) h…