Role of machine learning in precision oncology: applications in gastrointestinal cancers
Simple Summary Worldwide gastrointestinal (GI) malignancies account for about 25% of the
global cancer incidence. For some malignancies, screening programs, such as routine colon …
global cancer incidence. For some malignancies, screening programs, such as routine colon …
[HTML][HTML] Basic physical principles and clinical applications of computed tomography
H Jung - Progress in Medical Physics, 2021 - synapse.koreamed.org
The evolution of X-ray computed tomography (CT) has been based on the discovery of X-
rays, the inception of the Radon transform, and the development of X-ray digital data …
rays, the inception of the Radon transform, and the development of X-ray digital data …
Clinical validation of a commercially available deep learning software for synthetic CT generation for brain
M Lerner, J Medin, C Jamtheim Gustafsson, S Alkner… - Radiation …, 2021 - Springer
Background Most studies on synthetic computed tomography (sCT) generation for brain rely
on in-house developed methods. They often focus on performance rather than clinical …
on in-house developed methods. They often focus on performance rather than clinical …
Segreg: Segmenting oars by registering mr images and ct annotations
Z Zhang, X Qi, B Zhang, B Wu, H Le… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Organ at risk (OAR) segmentation is a critical process in radiotherapy treatment planning
such as head and neck tumors. Nevertheless, in clinical practice, radiation oncologists …
such as head and neck tumors. Nevertheless, in clinical practice, radiation oncologists …
Additive manufacturing pertaining to bone: Hopes, reality and future challenges for clinical applications
B Charbonnier, M Hadida, D Marchat - Acta Biomaterialia, 2021 - Elsevier
For the past 20 years, the democratization of additive manufacturing (AM) technologies has
made many of us dream of: low cost, waste-free, and on-demand production of functional …
made many of us dream of: low cost, waste-free, and on-demand production of functional …
Validation of deep learning-based CT image reconstruction for treatment planning
K Yasui, Y Saito, A Ito, M Douwaki, S Ogawa… - Scientific reports, 2023 - nature.com
Deep learning-based CT image reconstruction (DLR) is a state-of-the-art method for
obtaining CT images. This study aimed to evaluate the usefulness of DLR in radiotherapy …
obtaining CT images. This study aimed to evaluate the usefulness of DLR in radiotherapy …
[HTML][HTML] The effects of CT x-ray tube voltage and current variations on the relative electron density (RED) and CT number conversion curves
The procedures of the radiation treatment of the cancer patient start with imaging of patient
by CT machine. CT machine determine the locations and densities of patient organs in …
by CT machine. CT machine determine the locations and densities of patient organs in …
Assessment of the variation in CT scanner performance (image quality and Hounsfield units) with scan parameters, for image optimisation in radiotherapy treatment …
AT Davis, AL Palmer, S Pani, A Nisbet - Physica Medica, 2018 - Elsevier
Purpose To define a method and investigate how the adjustment of scan parameters
affected the image quality and Hounsfield units (HUs) on a CT scanner used for …
affected the image quality and Hounsfield units (HUs) on a CT scanner used for …
[HTML][HTML] Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncology
Cancer is a fatal disease and the second most cause of death worldwide. Treatment of
cancer is a complex process and requires a multi-modality-based approach. Cancer …
cancer is a complex process and requires a multi-modality-based approach. Cancer …
Novel combination treatment for melanoma: FLASH radiotherapy and immunotherapy delivered by a radiopaque and radiation responsive hydrogel
Immunotherapies have become the standard treatment for melanoma. To further improve
patient responses, combinations of immunotherapies and radiotherapy (RT) are being …
patient responses, combinations of immunotherapies and radiotherapy (RT) are being …