Prediction of bone formation rate of bioceramics using machine learning and image analysis
Ayano Yamamoto,
Shota Horikawa,
Kitaru Suzuki
et al.
Abstract:To practically utilize artificial bones, scanning electron microscope (SEM) images of artificial bones are used to analyze their properties and extract important features for predicting bone formation rate, including grain size and contour.
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