Initial findings from a mixed-methods evaluation of computer-assisted therapy for substance misuse in prisoners: Development, implementation and clinical outcomes from the ‘Breaking Free Health &amp; Justice’ treatment and recovery programme

Sarah, Elison; Stephanie, Dugdale; Samantha, Weston; Davies, Glyn; Jonathan, Ward

doi:10.3389/conf.fpubh.2016.01.00069

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2021

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“…Instead of training a scarce model, the present study used the “transfer approach” to use the models available to solve analogic problems due to the scarcity of data related to the COVID-19 chest X-ray picture. Transfer learning further promotes the presumption that training data should be independent and distributed identically to test data (Sarah et al , 2016).…”

Section: Introductionmentioning

confidence: 99%

COVID-19 prediction through X-ray images using various layers in convolutional neural network

Mishra

Tiwari

Bajpai

et al. 2021

WJE

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Purpose The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image. Design/methodology/approach This study proposed convolutional neural network (CNN) approach to predict COVID-19. Findings Prediction of COVID-19 using CNN. Originality/value The work has implemented multiple CNN models to classify chest X-ray of affected patients by using their chest scans. According to three models, the ResNet-50 is advantageous because of its high service reliability.

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Section: Introductionmentioning

confidence: 99%