Feasibility of improving vocal fold pathology image classification with synthetic images generated by DDPM-based GenAI: a pilot study

Generating realistic images of VFSP using DDPMs is feasible and can enhance the classification of VFSPs by an AI model and may support VD screening and diagnosis.

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Publication Details

Journal
European Archives of Oto-Rhino-Laryngology
Published
2025-05-17
DOI
https://doi.org/10.1007/s00405-025-09443-4
Citations
3
Primary Topic
Voice and Speech Disorders
Type
article
Field-Weighted Citation Impact
3.49
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article

Feasibility of improving vocal fold pathology image classification with synthetic images generated by DDPM-based GenAI: a pilot study

Mostafa M. Rezaee, Robert Green, Shahryar Zainaee, Mehran Ghasemi et al.
3 citations
European Archives of Oto-Rhino-Laryngology
Voice and Speech Disorders
3.49
article

Feasibility of improving vocal fold pathology image classification with synthetic images generated by DDPM-based GenAI: a pilot study

Mostafa M. Rezaee, Robert Green, Shahryar Zainaee, Mehran Ghasemi, Iman Khazrak
article en
3 citations

Abstract

Generating realistic images of VFSP using DDPMs is feasible and can enhance the classification of VFSPs by an AI model and may support VD screening and diagnosis.

European Archives of Oto-Rhino-LaryngologyVol. 282(8)
Bowling Green State University (US)
Openalex Percentile: Top 8%
Voice and Speech Disorders
3.49
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