Breast Regions Segmentation Based on U-net++ from DCE-MRI Image Sequences
Date
2021-01-27Journal
Journal of Physics: Conference SeriesPublisher
IOP Publishing LtdType
Article
Metadata
Show full item recordAbstract
Background analysis of breast cancer can depict the progress and states of the tumour, which is based on the whole breast segmentation from MRI images. The focus of this paper is to construct a pipeline for breast region segmentation for the possibility of breast cancer automatic diagnosis by using MRI image serials. Studies of breast region segmentation based on traditional and deep learning methods have undergone several years, but most of them have not achieved a satisfactory consequence for the following background analysis. In this paper, we proposed a novel pipeline for whole breast region segmentation method based on U-net++, that can achieve a better result compared with the traditional U-net model which is the most common used medical image analysis model and achieve a better IoU than CNN models. We have evaluated the U-net++ model with tradition U-net, our experiments demonstrate that the U-net++ with deep supervision achieves a higher IoU over U-net model.Identifier to cite or link to this item
http://hdl.handle.net/10713/15027ae974a485f413a2113503eed53cd6c53
10.1088/1742-6596/1748/4/042058