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AI technology, particularly deep learning, is revolutionizing maxillary sinus segmentation in dental applications.
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Accurate segmentation of the maxillary sinus on CT/CBCT images is crucial for both dental and ENT specialists.
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Deep learning models require large, annotated datasets for effective training and accurate segmentation results.
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Automated segmentation algorithms can enhance medical education and assist junior physicians in identifying the maxillary sinus.
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Integration of advanced segmentation algorithms into radiology software is expected to improve efficiency in dental clinics.