2 papers
cs.CV2024
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation
Xiaoyang Chen, Hao Zheng, Yifang Xie +2
Current methods for developing foundation models in medical image segmentation rely on two primary assumptions: a fixed set of classes and the immediate availability of a substanti…
cs.CV2024
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
Xiaoyang Chen, Hao Zheng, Yuemeng Li +4
A versatile medical image segmentation model applicable to images acquired with diverse equipment and protocols can facilitate model deployment and maintenance. However, building s…