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cs.CV2023
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention
Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller +1
Self-supervised learning is one of the most promising approaches to acquiring knowledge from limited labeled data. Despite the substantial advancements made in recent years, self-s…
eess.IV2023★ 1 cited
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis
Glejdis Shkëmbi, Johanna P. Müller, Zhe Li +3
Breast cancer is a major concern for women's health globally, with axillary lymph node (ALN) metastasis identification being critical for prognosis evaluation and treatment guidanc…