References
- P. Bao, L. Zhang, and X. Wu, Canny edge detection enhancement by scale multiplication, IEEE Trans. Pattern Anal. Mach. Intell. 27(9) (2005), pp. 1485–1490. doi: 10.1109/TPAMI.2005.173
- Y. Bengio, Practical recommendations for gradient-based training of deep architectures, in Neural Networks: Tricks of the Trade, G.B. Orr and K.-R. Müller, eds., Springer, Berlin, 2012, pp. 437–478.
- L.-I. Bih, C.-C. Ho, S.-J. Tsai, Y.C. Lai, and W. Chow, Bladder shape impact on the accuracy of ultrasonic estimation of bladder volume, Arch. Phys. Med. Rehabil. 79(12) (1998), pp. 1553–1556. doi: 10.1016/S0003-9993(98)90419-1
- S. Bózsa, L. Pótó, J. Bódis, L. Halvax, M. Koppán, A. Arany, T. Csermely, and M.G. Vizer, Assessment of postoperative postvoid residual bladder volume using three-dimenional ultrasound volumetry, Ultrasound Med. Biol. 37(4) (2011), pp. 522–529. doi: 10.1016/j.ultrasmedbio.2011.01.002
- F.-C. Chen, Back-propagation neural networks for nonlinear self-tuning adaptive control, IEEE Control Syst. Mag. 10(3) (1990), pp. 44–48. doi: 10.1109/37.55123
- L. Chunming, X. Chenyang, G. Changfeng, and D.F. Martin, Level set evolution without re-initialization: A new variational formulation, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, Vol. 1, IEEE, 2005, pp. 430–436.
- G.W. Flake, Square unit augmented radially extended multilayer perceptrons, in Neural Networks: Tricks of the Trade, G.B. Orr and K.-R. Müller, eds, Springer, Berlin, 1998, pp. 145–163.
- J. Gawthrop and R.W. Oates, Measured bladder volume for radiotherapy of the prostate using the hand-held bladderscan bvi 3000, Radiographer 59(1) (2012), pp. 8–12.
- B.O. Genevieve and M. Klaus-Robert, Neural Networks: Tricks of the Trade, Springer, Berlin, 2003.
- R. Hecht-Nielsen, Theory of the backpropagation neural network, IJCNN, International Joint Conference on Neural Networks, 1989, IEEE, 1989, pp. 593–605.
- E. Joelsson-Alm, J. Ulfvarson, C.R. Nyman, M.-B. Divander, and C. Svensén, Preoperative ultrasound monitoring can reduce postoperative bladder distension: A randomized study, Scand. J. Urol. Nephrol. 46(2) (2012), pp. 84–90. doi: 10.3109/00365599.2011.637959
- C.-C. Liang, T.-Y. Wei, S.-D. Chang, and C.-C. Hsieh, Bladder volume determination: Two-dimensional versus three-dimensional transvaginal ultrasound, Taiwan J. Obstet. Gynecol. 48(3) (2009), pp. 258–261. doi: 10.1016/S1028-4559(09)60300-4
- Z. Ma, R.N. Jorge, T. Mascarenhas, and J.M.R.S. Tavares, Novel approach to segment the inner and outer boundaries of the bladder wall in t2-weighted magnetic resonance images, Ann. Biomed. Eng. 39(8) (2011), pp. 2287–2297. doi: 10.1007/s10439-011-0324-3
- Z. Ma, R.N. Jorge, T. Mascarenhas, and J.M.R.S. Tavares, A level set based algorithm to reconstruct the urinary bladder from multiple views, Med. Eng. Phys. 35(12) (2013), pp. 1819–1824. doi: 10.1016/j.medengphy.2013.05.002
- T.L. Massaqli, D.D. Cardenas, and E.W. Kelly, Experience with portable ultrasound equipment and measurement of urine volumes: Inter-user reliability and factors of patient position, J. Urol. 142(4) (1989), pp. 969–971.
- G.K. McLean and S.L. Edell, Determinaton of bladder volumes by gray scale ultrasonography, Radiology 128(1) (1978), pp. 181–182. doi: 10.1148/128.1.181
- H. Oh-Oka and R. Nose, Efficacy and problems of bladder volume measurement using portable three-dimensional ultrasound scanning device-in particular, on measuring bladder volume lower than 100 mL, Jpn. J. Urol. 96(6) (2005), pp. 601–609. doi: 10.5980/jpnjurol1989.96.601
- M. Shoyab, Determining the Accuracy of Urine Volume Calculations Made by Stationary 2D B-Mode Ultrasonography, Munich, GRIN Verlag, 2015.
- P.J. Werbos, The Roots of Backpropagation: From Ordered Derivatives To Neural Networks And Political Forecasting, Wiley-Interscience, New York, 1994.
- J. Zhong, S. Jia, F. Pu, H. Niu, S. Li, D. Li, and Y. Fan, Ultrasound estimation of female bladder volume based on megnetic resonance modeling, J. Urol. 183(1) (2010), pp. 216–220. doi: 10.1016/j.juro.2009.08.112