2023
DOI: 10.1097/mao.0000000000003835
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Trauma After Cochlear Implantation: The Accuracy of Micro–Computed Tomography and Cone-Beam Fusion Computed Tomography Compared With Histology in Human Temporal Bones

Abstract: HypothesisMicro-computed tomography (micro-CT) and cone-beam computed tomography (CBCT), in conjunction with the image fusion technique, may provide similar results for trauma assessment after cochlear implantation, with respect to the trauma evaluation in preclinical cochlear implant (CI) studies, as the histology.BackgroundBefore clinical use, novel cochlear implant (CI) designs are tested in temporal bone (TB) studies for usability and risk evaluation. The criterion standard for evaluating intracochlear ins… Show more

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Cited by 2 publications
(3 citation statements)
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References 21 publications
(39 reference statements)
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“…The progression of machine learning techniques, particularly in the realm of deep learning, has been instrumental in evolving these models. Studies like [67] and [71] reveal how classification accuracy improves markedly when models are trained on multimodal embeddings rather than on single-modal data. The nuanced approach to classification, considering the intricacies of fused embeddings, is well-articulated in [77] and [83].…”
Section: Enhanced Classification Modelsmentioning
confidence: 99%
See 1 more Smart Citation
“…The progression of machine learning techniques, particularly in the realm of deep learning, has been instrumental in evolving these models. Studies like [67] and [71] reveal how classification accuracy improves markedly when models are trained on multimodal embeddings rather than on single-modal data. The nuanced approach to classification, considering the intricacies of fused embeddings, is well-articulated in [77] and [83].…”
Section: Enhanced Classification Modelsmentioning
confidence: 99%
“…This approach keeps the unique characteristics of each data type intact while harnessing their combined power for diagnosis [22,29]. After combining the data, we use a well-chosen classification model that's known for its ability to make sense of complex data, especially in medical diagnosis scenarios [67,71]. Proposed approach is rigorously assessing our method using a set of strong metrics that measure not only how accurate it is but also how reliable and valid it is for diagnosis [90, 94].…”
mentioning
confidence: 99%
“…Nevertheless, the integration of micro-CT imaging into clinical practice remains unclear. Given its high dose, micro-CT imaging does not seem suitable for patient use; instead, it is primarily employed for training and validating automatic segmentation algorithms [ 38 ].…”
Section: Integration Of 3d Inner Ear Reconstruction Software With Var...mentioning
confidence: 99%