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PENDETEKSIAN PENDARAHAN PADA CITRA DIGITAL RADIOLOGI OTAK MANUSIA MENGGUNAKAN…
This research discusses four scenarios in developing a Faster Region-based Convolutional Neural Network (Faster R-CNN) model to detect bleeding in radiological images of the human brain. We specifically tested and compared key parameters, namely learning rate, batch size, backbone architecture, and data sharing, to determine the most effective configuration. The results show that the learning r…
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- xviii, 72 hlm.; ilus.;29 cm
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- T1312342023
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