[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 …
Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a …
Abstract Background/Purpose Oropharyngeal cancer (OPC) primary gross tumor volume
(GTVp) segmentation is crucial for radiotherapy. Multiparametric MRI (mpMRI) is …
(GTVp) segmentation is crucial for radiotherapy. Multiparametric MRI (mpMRI) is …
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 …
Deep Learning for Nasopharyngeal Carcinoma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-analysis
Nasopharyngeal carcinoma is a significant health challenge that is particularly prevalent in
Southeast Asia and North Africa. MRI is the preferred diagnostic tool for NPC due to its …
Southeast Asia and North Africa. MRI is the preferred diagnostic tool for NPC due to its …
[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) …
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 …
Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy
KA Wahid, J Xu, D El-Habashy, Y Khamis… - Frontiers in …, 2022 - frontiersin.org
Background Quick magnetic resonance imaging (MRI) scans with low contrast-to-noise ratio
are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with …
are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with …
Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing …
Background Demand for head and neck cancer (HNC) radiotherapy data in algorithmic
development has prompted increased image dataset sharing. Medical images must comply …
development has prompted increased image dataset sharing. Medical images must comply …
[HTML][HTML] Comparing multi-image and image augmentation strategies for deep learning-based prostate segmentation
S Fransson - Physics and Imaging in Radiation Oncology, 2024 - Elsevier
During MR-Linac-based adaptive radiotherapy, multiple images are acquired per patient.
These can be applied in training deep learning networks to reduce annotation efforts. This …
These can be applied in training deep learning networks to reduce annotation efforts. This …
Segmentation stability of human head and neck medical images for radiotherapy applications under de-identification conditions: benchmarking for data sharing and …
Abstract Background and Purpose Increased demand for head and neck cancer (HNC)
radiotherapy data for algorithmic development has prompted an escalation of head and …
radiotherapy data for algorithmic development has prompted an escalation of head and …