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 …
Consistency in contouring of organs at risk by artificial intelligence vs oncologists in head and neck cancer patients
Abstract Background In the Danish Head and Neck Cancer Group (DAHANCA) 35 trial,
patients are selected for proton treatment based on simulated reductions of Normal Tissue …
patients are selected for proton treatment based on simulated reductions of Normal Tissue …
[HTML][HTML] Evolving Horizons in Radiation Therapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric …
Historically, clinician-derived contouring of tumors and healthy tissues has been crucial for
radiation therapy (RT) planning. In recent years, advances in artificial intelligence (AI) …
radiation therapy (RT) planning. In recent years, advances in artificial intelligence (AI) …
Localise to segment: crop to improve organ at risk segmentation accuracy
Increased organ at risk segmentation accuracy is required to reduce cost and complications
for patients receiving radiotherapy treatment. Some deep learning methods for the …
for patients receiving radiotherapy treatment. Some deep learning methods for the …
Accurate object localization facilitates automatic esophagus segmentation in deep learning
Z Li, G Gan, J Guo, W Zhan, L Chen - Radiation Oncology, 2024 - Springer
Background Currently, automatic esophagus segmentation remains a challenging task due
to its small size, low contrast, and large shape variation. We aimed to improve the …
to its small size, low contrast, and large shape variation. We aimed to improve the …
[HTML][HTML] Validation of a deep-learning segmentation model for adult and pediatric head and neck radiotherapy in different patient positions
L Chen, P Platzer, C Reschl, M Schafasand… - Physics and Imaging in …, 2024 - Elsevier
Background and purpose Autocontouring for radiotherapy has the potential to significantly
save time and reduce interobserver variability. We aimed to assess the performance of a …
save time and reduce interobserver variability. We aimed to assess the performance of a …
[HTML][HTML] Clinical acceptability of automatically generated lymph node levels and structures of deglutition and mastication for head and neck radiation therapy
S Maroongroge, ASR Mohamed, C Nguyen… - Physics and Imaging in …, 2024 - Elsevier
Abstract Background and Purpose Auto-contouring of complex anatomy in computed
tomography (CT) scans is a highly anticipated solution to many problems in radiotherapy. In …
tomography (CT) scans is a highly anticipated solution to many problems in radiotherapy. In …
Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR images
Objectives Auto-segmentation promises greater speed and lower inter-reader variability
than manual segmentations in radiation oncology clinical practice. This study aims to …
than manual segmentations in radiation oncology clinical practice. This study aims to …
Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images
Deep learning presents novel opportunities for the auto-segmentation of gross tumor volume
(GTV) in head and neck cancer (HNC), yet fully automatic methods usually necessitate …
(GTV) in head and neck cancer (HNC), yet fully automatic methods usually necessitate …
[PDF][PDF] Hidden Markov Random Field Model Based VGG-16 for Segmentation and Classification of Head and Neck Cancer.
The head and neck squamous cell carcinoma (HNSCC) is a group of malignant tumors that
typically originates in squamous cells lining mucous membranes of head and neck regions …
typically originates in squamous cells lining mucous membranes of head and neck regions …