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October 14, 2020Journal of Medical ImagingOpen Access

Automatic multi-organ segmentation in computed tomography images using hierarchical convolutional neural network

Sharmin Sultana Adam Robinson Daniel Y. Song Junghoon Lee

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Abstract

Experimental results demonstrate that the proposed method can produce fast, accurate, and reproducible segmentation of multiple organs of different sizes and shapes and show its potential to be applicable to different disease sites.

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Sultana et al. (2020) studied this question.

synapsesocial.com/papers/6a175e233275b64d0e6e9016 https://doi.org/10.1117/1.jmi.7.5.055001

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