DABS-MS: deep atlas-based segmentation using the Mumford–Shah functional

Our proposed DABS-MS method can accurately segment the IAC, which can then facilitate the localization of the ANFs. This patient-specific modeling of CI stimulation of the ANFs can help audiologists improve the CI programming, leading to better outcomes for patients with severe-to-profound hearing loss.

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Publication Details

Journal
Journal of Medical Imaging
Published
2025-10-21
DOI
https://doi.org/10.1117/1.jmi.12.5.055002
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

DABS-MS: deep atlas-based segmentation using the Mumford–Shah functional

Jack H. Noble, Hannah G. Mason
Journal of Medical Imaging
Anomaly Detection Techniques and Applications
article

DABS-MS: deep atlas-based segmentation using the Mumford–Shah functional

Jack H. Noble, Hannah G. Mason
article en

Abstract

Our proposed DABS-MS method can accurately segment the IAC, which can then facilitate the localization of the ANFs. This patient-specific modeling of CI stimulation of the ANFs can help audiologists improve the CI programming, leading to better outcomes for patients with severe-to-profound hearing loss.

Journal of Medical ImagingVol. 12(05)
Vanderbilt University (US)
Openalex Percentile: Top 84%
Anomaly Detection Techniques and Applications
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