Masked Video Modeling with Correlation-aware Contrastive Learning for Breast Cancer Diagnosis in Ultrasound. (arXiv:2208.09881v2 [cs.CV] UPDATED)

Breast cancer is one of the leading causes of cancer deaths in women. As the
primary output of breast screening, breast ultrasound (US) video contains
exclusive dynamic information for cancer diagnosis. However, training models
for video analysis is non-trivial as it requires a voluminous dataset which is
also expensive to annotate. Furthermore, the diagnosis of breast lesion faces
unique challenges such as inter-class similarity and intra-class variation. In
this paper, we propose a pioneering approach that directly utilizes US videos …

arxiv cancer cancer diagnosis correlation diagnosis modeling video