Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder-decoder network
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.09.043
Abstract: Abstract The segmentation of breast anatomical layers in the noisy Automated Whole Breast Ultrasound (AWBUS) images is a very challenging task. A boundary regularized deep convolutional encoder–decoder network (ConvEDNet) is proposed here to address this… read more here.
Keywords: encoder; breast; segmentation breast; anatomy ... See more keywords
Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2018.2865671
Abstract: Breast tumor segmentation based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a challenging problem and an active area of research. Particular challenges, similarly as in other segmentation problems, include the class-imbalance problem as well… read more here.
Keywords: breast tumors; tumor segmentation; segmentation; breast ... See more keywords