Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors Journal Article

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MLA

Kodipalli, Ashwini, et al. "Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors." IJEHMC vol.14, no.1 2023: pp.1-16. http://doi.org/10.4018/IJEHMC.321149

APA

Kodipalli, A., Fernandes, S. L., Dasar, S. K., & Ismail, T. (2023). Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors. International Journal of E-Health and Medical Communications (IJEHMC), 14(1), 1-16. http://doi.org/10.4018/IJEHMC.321149

Chicago

Kodipalli, Ashwini, et al. "Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors," International Journal of E-Health and Medical Communications (IJEHMC) 14, no.1: 1-16. http://doi.org/10.4018/IJEHMC.321149

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Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors

International Journal of E-Health and Medical Communications (IJEHMC)

The International Journal of E-Health and Medical Communications (IJEHMC) focuses on theories, systems, methods, algorithms, and applications in healthcare, biomedicine, telemedicine, and medical communications. This journal acts as an interface between e-health and communication technologies and their contribution to medical fields. IJEHMC publishes high quality application papers, survey and tutorial papers, case studies, and short research notes reflecting global e-health technologies and medical communications contributing to the state-of-art advances in the fields.

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