Effect of Reverberation Phenomena on Text-   independent Speaker Recognition Based Deep Learning

El-Moneim, Samia Abd; Hassan, Shaimaa E. A. Aziz; Sedik, Ahmed; Nassar, M. A.; Dessouky, Moawd I.; Ismail, Nabil A.; El‐Fishawy, Adel S.; El‐Banby, Ghada M.; Khalaf, Ashraf A. M.; El-Samie, Fathi I. Abd

doi:10.21608/mjeer.2019.76669

Cited by 2 publications

(2 citation statements)

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“…Wipe off the end cartilage and cut the longitudinal ligament to expose the dura mater. After decompression, the protruding tissue was bitten off and an artificial bone intervertebral fusion cage was inserted [22]. (2) Observation group: Configure the head with the fluoroscopy head frame, take the abdomen and supine position, perform single-lumen endotracheal intubation under general anesthesia, and determine the surgical site (outside the vertebral arch cavity of the surgical site).…”

Section: Experimental Methodmentioning

confidence: 99%

Deep Learning-Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic Radiculopathy

Zhang¹,

Zhu²,

Zhou³

et al. 2021

Journal of Healthcare Engineering

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In the past 10 years, the technology of percutaneous spine endoscopy has been continuously developed. The indications have expanded from simple lumbar disc herniation to various degenerative diseases of the cervical, thoracic, and lumbar spine. Traditional surgery for the treatment of cervical radiculopathy includes anterior cervical decompression surgery, anterior cervical decompression plus fusion surgery, and posterior limited fenestration surgery. This article mainly studies the treatment of cervical spondylosis caused by radiculopathy caused by the nucleus resection of the posterior cervical spine percutaneous spinal endoscopy based on deep learning. In the PPECD group, the height of the intervertebral cavity was measured before the operation and during the final follow-up, and the height change of the intervertebral cavity was evaluated. The relative angle and relative displacement of the sagittal plane of the operation segment in the PPECD group were measured, and the stability was evaluated. Using the cervical spine X-ray Kelvin degeneration evaluation criteria, before and during the final follow-up operation, the degeneration of the adjacent segments of the two groups was evaluated. A retrospective analysis of 26 cases of cervical radiculopathy that met the criteria for diagnosis, inclusion, and exclusion was reviewed. Among them, 11 cases were treated with PPECD surgery; 15 cases were treated with ACDF surgery. According to the evaluation method of Odom, the excellent rate and the good rate of the two groups were compared. According to the location of the lesion, the nerve detection or dull tip device is exposed under the armpit or shoulder of the nerve root, and the protruding nucleus pulposus tissue is explored and removed, and annulus fibrosus is performed as needed. After hemostasis was detected, the surgical instruments were removed and the surgical incision was completely sutured. Before the operation and 3 months after the operation, the final follow-up made no significant difference in the overall average height of the intervertebral cavity (F = 2.586, P > 0.05 ). The results show that posterior foramen expansion is an effective surgical method for the treatment of cervical spondylotic radiculopathy, but surgical adaptation requires strict management. In order to achieve satisfactory results, appropriate cases must be selected.

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Section: Experimental Methodmentioning

confidence: 99%

Deep Learning-Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic Radiculopathy

Zhang¹,

Zhu²,

Zhou³

et al. 2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

“…Recently, however, the potency of deep learning models (DLM) has led to its emergence as the go-to strategy in different applications across wide ranging domains, including self-driving cars, natural language processing, entertainment, visual recognition, fraud detection and healthcare. In healthcare, recent applications of DLM have been reported in COVID-19 detection (Sedik et al 2020b), e-healthcare for smart cities (Alghamdi et al 2020), security (Al-Azrak et al 2020;Elaskily et al 2020;Sallam et al 2019), biometric recognition (El-Rahiem et al 2020;El-Moneim et al 2019) and wireless communication (El-Ashkar et al 2019).…”

Section: Related Workmentioning

confidence: 99%

An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream

El-Rahiem

Amin

Sedik

et al. 2021

J Ambient Intell Human Comput

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Effect of Reverberation Phenomena on Text- independent Speaker Recognition Based Deep Learning

Cited by 2 publications

References 0 publications

Deep Learning-Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic Radiculopathy

Deep Learning-Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic Radiculopathy

An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream

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