Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images

Author:

Wang Chenglong,Hayashi Yuichiro,Oda Masahiro,Itoh Hayato,Kitasaka Takayuki,Frangi Alejandro F.,Mori Kensaku

Publisher

Springer International Publishing

Reference13 articles.

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2. Yun, J., et al.: Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net. Med. IA 51, 13–20 (2019)

3. Tetteh, G., et al.: DeepVesselNet: Vessel segmentation, centerline prediction, and bifurcation detection in 3-D angiographic volumes. arXiv preprint arXiv:1803.09340 (2018)

4. Lecture Notes in Computer Science;Q Meng,2017

5. Huang, Q., Sun, J., Ding, H., Wang, X., Wang, G.: Robust liver vessel extraction using 3D U-Net with variant dice loss function. Comput. Biol. Med. 101, 153–162 (2018)

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