A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation. (arXiv:2207.06799v3 [cs.CV] UPDATED)

Ovarian cancer is one of the most harmful gynecological diseases. Detecting
ovarian tumors in early stage with computer-aided techniques can efficiently
decrease the mortality rate. With the improvement of medical treatment
standard, ultrasound images are widely applied in clinical treatment. However,
recent notable methods mainly focus on single-modality ultrasound ovarian tumor
segmentation or recognition, which means there still lacks researches on
exploring the representation capability of multi-modality ultrasound ovarian
tumor images. To solve this problem, we propose a Multi-Modality Ovarian …

arxiv dataset image segmentation semantic unsupervised