LViT: Language meets Vision Transformer in Medical Image Segmentation. (arXiv:2206.14718v1 [cs.CV])

Deep learning has been widely used in medical image segmentation and other
aspects. However, the performance of existing medical image segmentation models
has been limited by the challenge of obtaining sufficient number of
high-quality data with the high cost of data annotation. To overcome the
limitation, we propose a new vision-language medical image segmentation model
LViT (Language meets Vision Transformer). In our model, medical text annotation
is introduced to compensate for the quality deficiency in image data. In
addition, the …

arxiv cv image language medical segmentation transformer vision