TRIPLANAR CONVOLUTIONAL NEURAL NETWORK APPROACH FOR LIVER TUMOR SEGMENTATION
| Main Authors: | Chung, Sheng Hung, Gan, Keng Hoon, Achuthan, Anusha, Mandava, Rajeswari |
|---|---|
| Format: | Proceeding Journal |
| Terbitan: |
, 2019
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| Online Access: |
https://zenodo.org/record/3474224 |
Daftar Isi:
- In this study, an automatic method based on Triplanar Convolutional Neural Network is proposed for liver tumor segmentation using Computed Tomography (CT) images. The triplanar views consist of axial, sagittal and coronal planes and these three planes are fed into the Convolutional Neural Network input streams to automatically learn discriminative features for segmenting tumor from liver CT images. The preliminary results show that Triplanar Convolutional Neural Network approach has better performance than Single-view Convolutional Neural Network approach in liver tumor segmentation.