Automatic Segmentation of Prostate Cancer using cascaded Fully Convolutional Network

Padmavathi Kora; K Reddy Madhavi; J Avanija; Sunitha Gurram; K Meenakshi; K Swaraja; Y Priyanka

doi:10.1051/e3sconf/202130901068

All issues

Volume 309 (2021)

E3S Web Conf., 309 (2021) 01068

References

Open Access

Issue		E3S Web Conf. Volume 309, 2021 3^rd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2021)


Article Number		01068
Number of page(s)		4
DOI		https://doi.org/10.1051/e3sconf/202130901068
Published online		07 October 2021

G. Litjens, O. Debats, J. Barentsz, N. Karssemeijer, Huisman, Computer-aided detection of prostate cancer in mri, IEEE transactions on medical imaging 33 (5) (2014) 1083–1092. [Google Scholar]
Y. K. Tsehay, N. S. Lay, H. R. Roth, X. Wang, J. T. Kwak, B. I. Turkbey, P. A. Pinto, B. J. Wood, R. M. Summers, Convolutional neural network based deep learning architecture for prostate cancer detection on multiparametric magnetic resonance images, in: Medical Imaging 2017: Computer-Aided Diagnosis, Vol. 10134, International Society for Optics and Photonics, 2017, p. 1013405. [Google Scholar]
Y. Zhu, L. Wang, M. Liu, C. Qian, A. Yousuf, A. Oto, D. Shen, Mri-based prostate cancer detection with high-level representation and hierarchical classification, Medical physics 44 (3) (2017) 1028–1039. [CrossRef] [PubMed] [Google Scholar]
S. Kohl, D. Bonekamp, H.-P. Schlemmer, K. Yaqubi, Hohenfellner, B. Hadaschik, J.-P. Radtke, K. Maier-Hein, Adversarial networks for the detection of aggressive prostate cancer, arXiv preprint arXiv:1702.08014. [Google Scholar]
F. Milletari, N. Navab, S.-A. Ahmadi, V-net: Fully convolutional neural networks for volumetric medical image segmentation, in: 2016 fourth international conference on 3D vision (3DV), IEEE, 2016, pp. 565–571. [Google Scholar]
Kuraparthi, Swaraja, Meenakshi Kollati, and Padmavathi Kora. “Robust Optimized Discrete Wavelet Transform-Singular Value Decomposition Based Video Watermarking.” Traitement du Signal 36.6 (2019). [Google Scholar]
Kora, Padmavathi, and K. Sri Rama Krishna. “Bundle block detection using genetic neural network.” Information systems design and intelligent applications. Springer, New Delhi, 2016. 309-317. [Google Scholar]
Kora, Padmavathi, K. Meenakshi, K. Swaraja, A. Rajani, and Md Kafiul Islam. “Detection of cardiac arrhythmia using fuzzy logic.” Informatics in Medicine Unlocked, 17, 2019, pp. 100257. [Google Scholar]

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[1] G. Litjens, O. Debats, J. Barentsz, N. Karssemeijer, Huisman, Computer-aided detection of prostate cancer in mri, IEEE transactions on medical imaging 33 (5) (2014) 1083–1092. [Google Scholar]

[2] Y. K. Tsehay, N. S. Lay, H. R. Roth, X. Wang, J. T. Kwak, B. I. Turkbey, P. A. Pinto, B. J. Wood, R. M. Summers, Convolutional neural network based deep learning architecture for prostate cancer detection on multiparametric magnetic resonance images, in: Medical Imaging 2017: Computer-Aided Diagnosis, Vol. 10134, International Society for Optics and Photonics, 2017, p. 1013405. [Google Scholar]

[3] Y. Zhu, L. Wang, M. Liu, C. Qian, A. Yousuf, A. Oto, D. Shen, Mri-based prostate cancer detection with high-level representation and hierarchical classification, Medical physics 44 (3) (2017) 1028–1039. [CrossRef] [PubMed] [Google Scholar]

[4] S. Kohl, D. Bonekamp, H.-P. Schlemmer, K. Yaqubi, Hohenfellner, B. Hadaschik, J.-P. Radtke, K. Maier-Hein, Adversarial networks for the detection of aggressive prostate cancer, arXiv preprint arXiv:1702.08014. [Google Scholar]

[5] F. Milletari, N. Navab, S.-A. Ahmadi, V-net: Fully convolutional neural networks for volumetric medical image segmentation, in: 2016 fourth international conference on 3D vision (3DV), IEEE, 2016, pp. 565–571. [Google Scholar]

[6] Kuraparthi, Swaraja, Meenakshi Kollati, and Padmavathi Kora. “Robust Optimized Discrete Wavelet Transform-Singular Value Decomposition Based Video Watermarking.” Traitement du Signal 36.6 (2019). [Google Scholar]

[7] Kora, Padmavathi, and K. Sri Rama Krishna. “Bundle block detection using genetic neural network.” Information systems design and intelligent applications. Springer, New Delhi, 2016. 309-317. [Google Scholar]

[8] Kora, Padmavathi, K. Meenakshi, K. Swaraja, A. Rajani, and Md Kafiul Islam. “Detection of cardiac arrhythmia using fuzzy logic.” Informatics in Medicine Unlocked, 17, 2019, pp. 100257. [Google Scholar]