1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Xinru Zhang, Ni Ou, Chenghao Liu +3
Automated brain tumor segmentation based on deep learning (DL) has achieved promising performance. However, it generally relies on annotated images for model training, which is not…
cs.CV2023
One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation
Wan Liu, Qi Lu, ZhiZheng Zhuo +2
Deep learning based methods have achieved state-of-the-art performance for automated white matter (WM) tract segmentation. In these methods, the segmentation model needs to be trai…
cs.CV2023
Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations
Zipei Zhao, Fengqian Pang, Yaou Liu +2
Cell detection in histopathology images is of great interest to clinical practice and research, and convolutional neural networks (CNNs) have achieved remarkable cell detection res…