Implementing a deep learning model for automatic tongue tumour segmentation in ex-vivo 3-dimensional ultrasound volumes

This study aims to investigate use of a 3D deep learning model for fast intraoperative segmentation of tongue carcinoma in 3D ultrasound volumes. Additionally, it investigates the clinical effect of automatic segmentation. A 3D No New U-Net (nnUNet) was trained on 113 manually annotated ultrasound volumes of resected tongue carcinoma.

Source: The British Journal of Oral and Maxillofacial Surgery - January 2, 2024 Category: ENT & OMF Authors: N.M. Bekedam, L.H.W. Idzerda, M.J.A. van Alphen, R.L.P. van Veen, L.H.E. Karssemakers, M.B. Karakullukcu, L.E. Smeele Source Type: research