Keros-Net: a convolutional block attention module-squeeze-and-excitation-integrated hybrid learning framework for olfactory fossa depth classification
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Purpose: This study aimed to develop a hybrid decision support framework combining deep learning (DL) and machine learning (ML) to automatically classify olfactory fossa depth on paranasal computed tomography (CT) images accordin... ...
