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The proposed approach outperforms other neural network architectures by leveraging rich geometric information to segment brain stroke lesion images

Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide.

The speech signal that is received in real-time has background noise and reverberations, which have an impact on the quality of speech. Therefore, it is crucial to reduce or eliminate the noise and increase the intel-ligibility and quality of speech signals. In this study, a proposed method that is the most effective and challenging in a low SNR environment for three types of noise are removed, including washing machine, traffic noise, and electric fan noise, and clean speech is recovered. with three samples of noise which are mixed and added to the clean speech signal with a lower level of SN...

/PRNewswire/ -- Roots Analysis has announced the addition of "AI-based Digital Pathology Market, 2022-2035" report to its list of offerings. The use of...

/PRNewswire/ -- InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global AI-Based Digital Pathology Solutions Market By...