1 citations · 1 across the 3 of their papers we have counts for
3 papers
Interactive 3D Segmentation for Primary Gross Tumor Volume in Oropharyngeal Cancer
Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari +12
The main treatment modality for oropharyngeal cancer (OPC) is radiotherapy, where accurate segmentation of the primary gross tumor volume (GTVp) is essential. However, accurate GTV…
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset
Jorma Järnstedt, Jaakko Sahlsten, Joel Jaskari +8
Preoperative radiological identification of mandibular canals is essential for maxillofacial surgery. This study demonstrates the reproducibility of a deep learning system (DLS) by…
Comparison of Deep Learning Segmentation and Multigrader-annotated Mandibular Canals of Multicenter CBCT scans
Jorma Järnstedt, Jaakko Sahlsten, Joel Jaskari +9
Deep learning approach has been demonstrated to automatically segment the bilateral mandibular canals from CBCT scans, yet systematic studies of its clinical and technical validati…