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Integration of learning techniques enhances surgical planning accuracy in cochlear implant procedures.
To our knowledge, this is the first work that integrates self-supervised and weakly-supervised learning for mastoidectomy shape prediction, offering a robust and efficient solution for CI surgical planning while leveraging 3D T-distribution loss in weakly-supervised medical imaging.
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Zhang et al. (2026) studied this question.
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