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Found 1 from your keywords: author=Unigha, Siti Luthfia

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KLASIFIKASI ABNORMALITAS JANTUNG ANAK DENGAN ARSITEKTUR CONVOLUTIONAL NEURAL …

This study aims to develop a classification model using Convolutional Neural Networks (CNN) architecture to identify heart abnormalities in children. In this study, binary and multi-class CNNs are used to process data from children's heart images and produce abnormality class predictions. The data used in this study comes from two categories: normal hearts and hearts with abnormalities. The res…

Edition: -
ISBN/ISSN: -
Collation: xiv, 102 hlm.; ilus.; 29 cm
Series Title: -
Call Number: T1052112023

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