[HTML][HTML] Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis

P Liu, Y Sun, X Zhao, Y Yan - BioMedical Engineering OnLine, 2023 - Springer
Purpose The contouring of organs at risk (OARs) in head and neck cancer radiation
treatment planning is a crucial, yet repetitive and time-consuming process. Recent studies …

Practical and technical key challenges in head and neck adaptive radiotherapy: The GORTEC point of view

N Delaby, A Barateau, S Chiavassa, MC Biston… - Physica Medica, 2023 - Elsevier
Anatomical variations occur during head and neck (H&N) radiotherapy (RT) treatment.
These variations may result in underdosage to the target volume or overdosage to the organ …

[HTML][HTML] Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test

A De Biase, L Ziegfeld, NM Sijtsema… - Computers in biology …, 2024 - Elsevier
Background The different tumor appearance of head and neck cancer across imaging
modalities, scanners, and acquisition parameters accounts for the highly subjective nature of …

[HTML][HTML] Deep Learning Architecture to Improve Edge Accuracy of Auto-Contouring for Head and Neck Radiotherapy

R Gifford, SR Jhawar, S Krening - Diagnostics, 2023 - mdpi.com
Deep learning (DL) methods have shown great promise in auto-segmentation problems.
However, for head and neck cancer, we show that DL methods fail at the axial edges of the …

[HTML][HTML] Achieving exceptional cochlea delineation in radiotherapy scans: the impact of optimal window width and level settings

NM Shanbhag, ASB Sumaida, M Saleh - Cureus, 2023 - ncbi.nlm.nih.gov
Results The implementation of the proposed step-by-step method for adjusting window
width and window level led to significant improvements in contouring accuracy and …

Improvement in male pelvis magnetic resonance image contouring following radiologist‐delivered training

B Oar, A Brown, G Newman, A Boles… - Journal of Medical …, 2024 - Wiley Online Library
Introduction The magnetic resonance linear accelerator (MRL) combines both magnetic
resonance imaging and a linear accelerator, allowing for daily treatment adaptation. This …

Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR images

R Paudyal, J Jiang, J Han, BH Diplas… - BJR| Artificial …, 2024 - academic.oup.com
Objectives Auto-segmentation promises greater speed and lower inter-reader variability
than manual segmentations in radiation oncology clinical practice. This study aims to …