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A comparative study on state-of-the-art deep learning based vocal tract segmentation methods in volumetric sustained speech MRI

Year: 2025

Type: conference-paper

Source: Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

DOI: 10.58530/2025/4316

Authors: Subin Erattakulangara, Sarah Gerard, David Meyer, Karthika Kelat, Katie Burnham, Rachel Balbi, Sajan Lingala

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4414238479

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