MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets

1 code implementation • 4 Jan 2023 • Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J. A. van Nijnatten, Marc B. I. Lobbes, Marjolein L. Smidt, Philippe Lambin, Siamak Mehrkanoon

Deep learning (DL) applied to breast tissue segmentation in magnetic resonance imaging (MRI) has received increased attention in the last decade, however, the domain shift which arises from different vendors, acquisition protocols, and biological heterogeneity, remains an important but challenging obstacle on the path towards clinical implementation.

Contrastive Learning MRI segmentation +1