February 16, 2024Open Access

A novel radiological software prototype for automatically detecting the inner ear and classifying normal from malformed anatomy

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Resumen

To develop an effective radiological software prototype that could read Digital Imaging and Communications in Medicine (DICOM) files, crop the inner ear automatically based on head computed tomography (CT), and classify normal and inner ear malformation (IEM).

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Cite This Study

Almansi et al. (Fri,) studied this question.

synapsesocial.com/papers/68e78e2db6db6435876ff6c0 https://doi.org/https://doi.org/10.1016/j.compbiomed.2024.108168

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5Automatic detection of the inner ears in head CT images using deep convolutional neural networks2018 · 14 citations

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