ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images
Andaç İmak, Adalet Çelebi, Onur Polat, Muammer Türkoğlu, Abdulkadir Şengür
Topics & Concepts
Artificial intelligenceSegmentationConvolutional neural networkComputer scienceBlock (permutation group theory)ResidualPattern recognition (psychology)Deep learningMedicineComputer visionAlgorithmMathematicsGeometryDental Radiography and ImagingCOVID-19 diagnosis using AIForensic Anthropology and Bioarchaeology Studies