Artificial intelligence and machine learning for medical imaging: A technology review
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …
of disruptive technical advances and impressive experimental results, notably in the field of …
Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …
Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer
C McIntosh, L Conroy, MC Tjong, T Craig, A Bayley… - Nature medicine, 2021 - nature.com
Abstract Machine learning (ML) holds great promise for impacting healthcare delivery;
however, to date most methods are tested in 'simulated'environments that cannot …
however, to date most methods are tested in 'simulated'environments that cannot …
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
With the advancement of treatment modalities in radiation therapy for cancer patients,
outcomes have improved, but at the cost of increased treatment plan complexity and …
outcomes have improved, but at the cost of increased treatment plan complexity and …
Knowledge‐based planning for intensity‐modulated radiation therapy: a review of data‐driven approaches
Y Ge, QJ Wu - Medical physics, 2019 - Wiley Online Library
Purpose Intensity‐Modulated Radiation Therapy (IMRT), including its variations (including
IMRT, Volumetric Arc Therapy (VMAT), and Tomotherapy), is a widely used and critically …
IMRT, Volumetric Arc Therapy (VMAT), and Tomotherapy), is a widely used and critically …
Automation in intensity modulated radiotherapy treatment planning—a review of recent innovations
Radiotherapy treatment planning of complex radiotherapy techniques, such as intensity
modulated radiotherapy and volumetric modulated arc therapy, is a resource-intensive …
modulated radiotherapy and volumetric modulated arc therapy, is a resource-intensive …
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification
Radiotherapy is a mainstay treatment for cancer in clinic. An excellent radiotherapy
treatment plan is always based on a high-quality dose distribution map which is produced by …
treatment plan is always based on a high-quality dose distribution map which is produced by …
Three‐dimensional dose prediction for lung IMRT patients with deep neural networks: robust learning from heterogeneous beam configurations
AM Barragán‐Montero, D Nguyen, W Lu… - Medical …, 2019 - Wiley Online Library
Purpose The use of neural networks to directly predict three‐dimensional dose distributions
for automatic planning is becoming popular. However, the existing methods use only patient …
for automatic planning is becoming popular. However, the existing methods use only patient …
Fully automated treatment planning for head and neck radiotherapy using a voxel-based dose prediction and dose mimicking method
Recent works in automated radiotherapy treatment planning have used machine learning
based on historical treatment plans to infer the spatial dose distribution for a novel patient …
based on historical treatment plans to infer the spatial dose distribution for a novel patient …
OpenKBP: the open‐access knowledge‐based planning grand challenge and dataset
Purpose To advance fair and consistent comparisons of dose prediction methods for
knowledge‐based planning (KBP) in radiation therapy research. Methods We hosted …
knowledge‐based planning (KBP) in radiation therapy research. Methods We hosted …