Predicting cancer outcomes with radiomics and artificial intelligence in radiology
The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …
application of AI-based cancer imaging analysis to address other, more complex, clinical …
[HTML][HTML] The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
Machine and deep learning methods for radiomics
Radiomics is an emerging area in quantitative image analysis that aims to relate large‐scale
extracted imaging information to clinical and biological endpoints. The development of …
extracted imaging information to clinical and biological endpoints. The development of …
[HTML][HTML] Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …
observing patients' anatomy. However, the interpretation of medical images can be highly …
Radiomics of CT features may be nonreproducible and redundant: influence of CT acquisition parameters
R Berenguer, MDR Pastor-Juan, J Canales-Vázquez… - Radiology, 2018 - pubs.rsna.org
Purpose To identify the reproducible and nonredundant radiomics features (RFs) for
computed tomography (CT). Materials and Methods Two phantoms were used to test RF …
computed tomography (CT). Materials and Methods Two phantoms were used to test RF …
Radiomics in breast cancer classification and prediction
Breast Cancer (BC) is the common form of cancer in women. Its diagnosis and screening are
usually performed through different imaging modalities such as mammography, magnetic …
usually performed through different imaging modalities such as mammography, magnetic …
Applications and limitations of radiomics
SSF Yip, HJWL Aerts - Physics in Medicine & Biology, 2016 - iopscience.iop.org
Radiomics is an emerging field in quantitative imaging that uses advanced imaging features
to objectively and quantitatively describe tumour phenotypes. Radiomic features have …
to objectively and quantitatively describe tumour phenotypes. Radiomic features have …
[HTML][HTML] Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
Medical image processing and analysis (also known as Radiomics) is a rapidly growing
discipline that maps digital medical images into quantitative data, with the end goal of …
discipline that maps digital medical images into quantitative data, with the end goal of …
Radiomics and radiogenomics in lung cancer: a review for the clinician
Lung cancer is responsible for a large proportion of cancer-related deaths across the globe,
with delayed detection being perhaps the most significant factor for its high mortality rate …
with delayed detection being perhaps the most significant factor for its high mortality rate …
[HTML][HTML] Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer
M Vallieres, E Kay-Rivest, LJ Perrin, X Liem… - Scientific reports, 2017 - nature.com
Quantitative extraction of high-dimensional mineable data from medical images is a process
known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk …
known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk …