A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy.
Fiche publication
Date publication
juillet 2020
Journal
International journal of computer assisted radiology and surgery
Auteurs
Lien Pubmed
Résumé
This paper addresses the detection of the clinical target volume (CTV) in transrectal ultrasound (TRUS) image-guided intraoperative for permanent prostate brachytherapy. Developing a robust and automatic method to detect the CTV on intraoperative TRUS images is clinically important to have faster and reproducible interventions that can benefit both the clinical workflow and patient health.
Mots clés
Convolutional neural networks, Image segmentation, Image-guided brachytherapy, Intraoperative, Shape models, Transrectal ultrasound
Référence
Int J Comput Assist Radiol Surg. 2020 Jul 20;: