Advances in auto-segmentation
Manual image segmentation is a time-consuming task routinely performed in radiotherapy to
identify each patient's targets and anatomical structures. The efficacy and safety of the …
identify each patient's targets and anatomical structures. The efficacy and safety of the …
Head and neck cancer adaptive radiation therapy (ART): conceptual considerations for the informed clinician
J Heukelom, CD Fuller - Seminars in radiation oncology, 2019 - Elsevier
For nearly 2 decades, adaptive radiation therapy (ART) has been proposed as a method to
account for changes in head and neck tumor and normal tissue to enhance therapeutic …
account for changes in head and neck tumor and normal tissue to enhance therapeutic …
Delineation of the primary tumour clinical target volumes (ctv-p) in laryngeal, hypopharyngeal, oropharyngeal and oral cavity squamous cell carcinoma: Airo, caca …
Purpose Few studies have reported large inter-observer variations in target volume
selection and delineation in patients treated with radiotherapy for head and neck squamous …
selection and delineation in patients treated with radiotherapy for head and neck squamous …
Deep learning algorithm for auto-delineation of high-risk oropharyngeal clinical target volumes with built-in dice similarity coefficient parameter optimization function
Purpose Automating and standardizing the contouring of clinical target volumes (CTVs) can
reduce interphysician variability, which is one of the largest sources of uncertainty in head …
reduce interphysician variability, which is one of the largest sources of uncertainty in head …
Automatic detection of contouring errors using convolutional neural networks
Purpose To develop a head and neck normal structures autocontouring tool that could be
used to automatically detect the errors in autocontours from a clinically validated …
used to automatically detect the errors in autocontours from a clinically validated …
Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks
Accurate clinical target volume (CTV) delineation is essential to ensure proper tumor
coverage in radiation therapy. This is a particularly difficult task for head-and-neck cancer …
coverage in radiation therapy. This is a particularly difficult task for head-and-neck cancer …
Retrospective validation and clinical implementation of automated contouring of organs at risk in the head and neck: a step toward automated radiation treatment …
RE McCarroll, BM Beadle, PA Balter… - Journal of Global …, 2018 - ascopubs.org
Purpose We assessed automated contouring of normal structures for patients with head-and-
neck cancer (HNC) using a multiatlas deformable-image-registration algorithm to better …
neck cancer (HNC) using a multiatlas deformable-image-registration algorithm to better …
Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual …
Purpose The use of magnetic resonance imaging (MRI) in radiotherapy treatment planning
has rapidly increased due to its ability to evaluate patient's anatomy without the use of …
has rapidly increased due to its ability to evaluate patient's anatomy without the use of …
Matched computed tomography segmentation and demographic data for oropharyngeal cancer radiomics challenges
Cancers arising from the oropharynx have become increasingly more studied in the past few
years, as they are now epidemic domestically. These tumors are treated with definitive …
years, as they are now epidemic domestically. These tumors are treated with definitive …
Consequences of introducing geometric GTV to CTV margin expansion in DAHANCA contouring guidelines for head and neck radiotherapy
Background and purpose Defining margins around the Gross Tumour Volume (GTV) to
create a Clinical Target Volume (CTV) for head and neck cancer radiotherapy has …
create a Clinical Target Volume (CTV) for head and neck cancer radiotherapy has …