[HTML][HTML] Artificial intelligence and machine learning in cancer imaging
An increasing array of tools is being developed using artificial intelligence (AI) and machine
learning (ML) for cancer imaging. The development of an optimal tool requires …
learning (ML) for cancer imaging. The development of an optimal tool requires …
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 …
Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review
Advances in artificial intelligence-based methods have led to the development and
publication of numerous systems for auto-segmentation in radiotherapy. These systems …
publication of numerous systems for auto-segmentation in radiotherapy. These systems …
Machine learning for auto-segmentation in radiotherapy planning
K Harrison, H Pullen, C Welsh, O Oktay, J Alvarez-Valle… - Clinical Oncology, 2022 - Elsevier
Manual segmentation of target structures and organs at risk is a crucial step in the
radiotherapy workflow. It has the disadvantages that it can require several hours of clinician …
radiotherapy workflow. It has the disadvantages that it can require several hours of clinician …
[HTML][HTML] Review of deep learning based automatic segmentation for lung cancer radiotherapy
X Liu, KW Li, R Yang, LS Geng - Frontiers in oncology, 2021 - frontiersin.org
Lung cancer is the leading cause of cancer-related mortality for males and females.
Radiation therapy (RT) is one of the primary treatment modalities for lung cancer. While …
Radiation therapy (RT) is one of the primary treatment modalities for lung cancer. While …
Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives
Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …
Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction
Recent advances in artificial intelligence (AI) for cardiac computed tomography (CT) have
shown great potential in enhancing diagnosis and prognosis prediction in patients with …
shown great potential in enhancing diagnosis and prognosis prediction in patients with …
HaN‐Seg: The head and neck organ‐at‐risk CT and MR segmentation dataset
Purpose For the cancer in the head and neck (HaN), radiotherapy (RT) represents an
important treatment modality. Segmentation of organs‐at‐risk (OARs) is the starting point of …
important treatment modality. Segmentation of organs‐at‐risk (OARs) is the starting point of …
[HTML][HTML] Anatomy-aided deep learning for medical image segmentation: a review
Deep learning (DL) has become widely used for medical image segmentation in recent
years. However, despite these advances, there are still problems for which DL-based …
years. However, despite these advances, there are still problems for which DL-based …
The impact of training sample size on deep learning-based organ auto-segmentation for head-and-neck patients
Y Fang, J Wang, X Ou, H Ying, C Hu… - Physics in Medicine & …, 2021 - iopscience.iop.org
To investigate the impact of training sample size on the performance of deep learning-based
organ auto-segmentation for head-and-neck cancer patients, a total of 1160 patients with …
organ auto-segmentation for head-and-neck cancer patients, a total of 1160 patients with …