Fully Automatic CAD System for Segmentation and Classification of Spinal Metastatic Lesions in CT Data

Author:

Chmelik Jiri,Jakubicek Roman,Jan Jiri,Ourednicek Petr,Lambert Lukas,Amadori Elena,Gavelli Giampaolo

Publisher

Springer Singapore

Reference10 articles.

1. Gasbarrini, A., Cappuccio, M., Mirabile, L., Bandiera, S., Terzi, S., Barbanti Bròdano, G., Boriani, S.: Spinal metastases: treatment evaluation algorithm. European Review for Medical and Pharmacological Sciences 8(6), 265–274 (2004), http://www.europeanreview.org/article/145

2. Kakhki, V.R.D., Anvari, K., Sadeghi, R., Mahmoudian, A.S., Torabian-Kakhki, M.: Pattern and distribution of bone metastases in common malignant tumors. Nuclear Medicine Review 16(2), 66–69 (2013), http://doi.org/10.5603/NMR.2013.0037

3. Yao, J., Burns, J.E., Summers, R.M.: Computer aided detection of bone metastases in the thoracolumbar spine. In: Li, S., Yao, J. (eds.) Spinal Imaging and Image Analysis. Lecture Notes in Computational Vision and Biomechanics, vol 18, pp. 97–130. Springer, Cham (2015), https://doi.org/10.1007/978-3-319-12508-4_4

4. Roth, H.R., Yao, J., Lu, L., Stieger, J., Burns, J.E., Summers, R.M.: Detection of sclerotic spine metastases via random aggregation of deep convolutional neural network classifications. In: Yao, J., Glocker, B., Klinder, T., Li, S. (eds.) Recent Advances in Computational Methods and Clinical Applications for Spine Imaging, pp. 3–12. Springer, Cham, 1 edn. (2015), http://doi.org/10.1007/978-3-319-14148-0

5. Roth, H.R., Lu, L., Liu, J., Yao, J., Seff, A., Cherry, K., Kim, L., Summers, R.M.: Improving computer-aided detection using convolutional neural networks and random view aggregation. IEEE Transactions on Medical Imaging 35(5), 1170–1181 (2016), http://doi.org/10.1109/TMI.2015.2482920

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