2022
DOI: 10.1007/s00500-022-06780-y
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Heart disease diagnosis using deep learning and cardiac color doppler ultrasound

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Cited by 9 publications
(3 citation statements)
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“…Figure 12 is clearly explaining about comparison of earlier models with proposed model, in this RFO (random forest optimization), DT (Decision tree) and X boosting models are comparing [15]. It is identified that proposed LetNet-10 based CNN model attains more improvement.…”
Section: Fig 12 -Comparisons Of Resultsmentioning
confidence: 80%
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“…Figure 12 is clearly explaining about comparison of earlier models with proposed model, in this RFO (random forest optimization), DT (Decision tree) and X boosting models are comparing [15]. It is identified that proposed LetNet-10 based CNN model attains more improvement.…”
Section: Fig 12 -Comparisons Of Resultsmentioning
confidence: 80%
“…The CIFAR-10 dataset, can evaluate the features with a depth of up to L = 5 CNN layers which are 1.66x deeper than DNN. The experimental results demonstrate the efficiency of the proposed method and its role in providing the model with a greater capacity to represent features and thus leading to better recognition performance [15]. The technical and clinical points are exploring the merits, limits, and prospects for hybrid intracoronary imaging approaches.…”
Section: Literature Surveymentioning
confidence: 92%
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