Comprehensive Study on Denoising of Medical Images Utilizing Neural Network-Based Autoencoder

Author:

Nawarathne Thoshara,Withanage Thanushi,Gunarathne Samitha,Delay Upekha,Somathilake Eranda,Senanayake Janith,Godaliyadda Roshan,Ekanayake Parakrama,Rathnayake Chathura,Wijayakulasooriya Janaka

Publisher

Springer Singapore

Reference22 articles.

1. Rådestad, I.: Fetal movements in the third trimester—important information about well being of the fetus. Sex. Reprod. Healthc. Off. J. Swed. Assoc. Midwives 1, 119–21 (2010). https://doi.org/10.1016/j.srhc.2010.06.006

2. Wasalaarachchi, W.A.W.S., et al.: Fetal movements identification based on non-negative matrix factorization and spectral clustering. In: 2019 14th Conference on Industrial and Information Systems (ICIIS), pp. 266–271. Kandy, Sri Lanka (2019). https://doi.org/10.1109/ICIIS47346.2019.9063351

3. Delay, U.H., et al.: Non invasive wearable device for fetal movement detection. In: 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), pp. 285–290. Rupnagar, India (2020). https://doi.org/10.1109/ICIIS51140.2020.9342662

4. Ruwanga, W.T., Godaliyadda, G.M.R.I., Ekanayake, M.P.B., Wijayakulasooriya, J.V., Rathnayake, R.M.C.J.: Combining local non-negative matrix factorization and spectral clustering to detect fetal movements. In: Women in Engineering Symposium 2020 (IEEE WIESymp2020). Paper ID 22, Online Conference held on 15 Nov 2020

5. Gunarathne, S., Withanage, T., Delay, U., Nawarathne, T., Godaliyadda, R., Ekanayake, P., Wijayakulasooriya, J., Rathnayake, C.: Standardized fourth central movement based three step algorithm for fetal movements identification. In: On-Line International Conference on Advances in Computing and Technology (ICACT 2020 University of Kelaniya). Paper ID 51, Online Conference held on: 28 Nov 2020 (in press)

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