19 citations · 33 across the 4 of their papers we have counts for
4 papers
Automatic CT Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Yuanpeng Liu, Qinglei Hui, Zhiyi Peng +2
Accurate segmentation for medical images is important for clinical diagnosis. Existing automatic segmentation methods are mainly based on fully supervised learning and have an extr…
Segmentation of Levator Hiatus Using Multi-Scale Local Region Active contours and Boundary Shape Similarity Constraint
Xinling Zhang, Xu Li, Ying Chen +3
In this paper, a multi-scale framework with local region based active contour and boundary shape similarity constraint is proposed for the segmentation of levator hiatus in ultraso…
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut
Fang Lu, Fa Wu, Peijun Hu +2
Purpose Segmentation of the liver from abdominal computed tomography (CT) image is an essential step in some computer assisted clinical interventions, such as surgery planning for…
Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification
Fa Wu, Peijun Hu, Dexing Kong
This paper presents a new version of Dropout called Split Dropout (sDropout) and rotational convolution techniques to improve CNNs' performance on image classification. The widely…