A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling - researchr publication related

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Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers. A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling. IEEE Transactions on Image Processing, 26(1):386-399, 2017. [doi]

The following publications are possibly variants of this publication:

Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel LabelingAmal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers. In Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang, editors, Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets. Advances in Computer Vision and Pattern Recognition, pages 279-302, Springer, 2017. [doi]

A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT ScansAmal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers. miccai 2014: 103-113 [doi]

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