Automated contouring and planning in radiation therapy: what is 'clinically acceptable'?
Developers and users of artificial-intelligence-based tools for automatic contouring and
treatment planning in radiotherapy are expected to assess clinical acceptability of these …
treatment planning in radiotherapy are expected to assess clinical acceptability of these …
[HTML][HTML] The use of MR-guided radiation therapy for head and neck cancer and recommended reporting guidance
BA McDonald, R Dal Bello, CD Fuller… - Seminars in radiation …, 2024 - Elsevier
Although magnetic resonance imaging (MRI) has become standard diagnostic workup for
head and neck malignancies and is currently recommended by most radiological societies …
head and neck malignancies and is currently recommended by most radiological societies …
Fully-automated, CT-only GTV contouring for palliative head and neck radiotherapy
Planning for palliative radiotherapy is performed without the advantage of MR or PET
imaging in many clinics. Here, we investigated CT-only GTV delineation for palliative …
imaging in many clinics. Here, we investigated CT-only GTV delineation for palliative …
[HTML][HTML] Towards interactive deep-learning for tumour segmentation in head and neck cancer radiotherapy
Background and purpose With deep-learning, gross tumour volume (GTV) auto-
segmentation has substantially been improved, but still substantial manual corrections are …
segmentation has substantially been improved, but still substantial manual corrections are …
Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites
Clinician generated segmentation of tumor and healthy tissue regions of interest (ROIs) on
medical images is crucial for radiotherapy. However, interobserver segmentation variability …
medical images is crucial for radiotherapy. However, interobserver segmentation variability …
E pluribus unum: prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for …
Purpose Contouring Collaborative for Consensus in Radiation Oncology (C3RO) is a
crowdsourced challenge engaging radiation oncologists across various expertise levels in …
crowdsourced challenge engaging radiation oncologists across various expertise levels in …
Extensive clinical testing of Deep Learning Segmentation models for thorax and breast cancer radiotherapy planning
SG Mikalsen, T Skjøtskift, VG Flote… - Acta …, 2023 - Taylor & Francis
Background The performance of deep learning segmentation (DLS) models for automatic
organ extraction from CT images in the thorax and breast regions was investigated …
organ extraction from CT images in the thorax and breast regions was investigated …
[HTML][HTML] Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal …
Background: Oropharyngeal cancer (OPC) is a widespread disease, with radiotherapy being
a core treatment modality. Manual segmentation of the primary gross tumor volume (GTVp) …
a core treatment modality. Manual segmentation of the primary gross tumor volume (GTVp) …
Impact of MRI on target volume definition in head and neck cancer patients
Background Target volume definition for curative radiochemotherapy in head and neck
cancer is crucial since the predominant recurrence pattern is local. Additional diagnostic …
cancer is crucial since the predominant recurrence pattern is local. Additional diagnostic …
Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning
Background Radiotherapy is a core treatment modality for oropharyngeal cancer (OPC),
where the primary gross tumor volume (GTVp) is manually segmented with high …
where the primary gross tumor volume (GTVp) is manually segmented with high …