most citedFlip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification

19 citations · 29 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2016★ 10 cited

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…

cs.CV2015★ 19 cited

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…