Aug 21, 2019 · Weakly-supervised learning under image-level labels supervision has been widely applied to semantic segmentation of medical lesions regions.

Weakly-supervised learning under image-level labels su- pervision has been widely applied to semantic segmenta- tion of medical lesions regions.

A pseudo label generator is proposed to leverage seed information to generate highly-confident pseudo pixel labels by incorporating class balance and ...

Weakly-supervised learning under image-level labels supervision has been widely applied to semantic segmentation of medical lesions regions.

Weakly-supervised learning under image-level labels supervision has been widely applied to semantic segmentation of medical lesions regions.

Weakly-supervised learning under image-level labels su- pervision has been widely applied to semantic segmenta- tion of medical lesions regions.

Weakly-supervised learning has attracted growing research attention on medical lesions segmentation due to significant saving in pixel-level annotation cost ...

Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation. J Dong, Y Cong, G Sun, D Hou. Proceedings of the IEEE International Conference on ...

To better utilize these dependencies, we present a new semantic lesions representation transfer model for weakly-supervised endoscopic lesions segmentation, ...

In this paper, we propose a weakly semi-supervised segmentation framework, called Point Segmentation Transformer (Point SEGTR).