Skeletal muscle quantitative nuclear magnetic resonance imaging and spectroscopy as an outcome measure for clinical trials

PG Carlier, B Marty, O Scheidegger… - Journal of …, 2016 - content.iospress.com
Recent years have seen tremendous progress towards therapy of many previously incurable
neuromuscular diseases. This new context has acted as a driving force for the development …

Texture analysis of medical images for radiotherapy applications

E Scalco, G Rizzo - The British journal of radiology, 2017 - academic.oup.com
The high-throughput extraction of quantitative information from medical images, known as
radiomics, has grown in interest due to the current necessity to quantitatively characterize …

[HTML][HTML] Magnetic fields and cancer: epidemiology, cellular biology, and theranostics

ME Maffei - International Journal of Molecular Sciences, 2022 - mdpi.com
Humans are exposed to a complex mix of man-made electric and magnetic fields (MFs) at
many different frequencies, at home and at work. Epidemiological studies indicate that there …

[HTML][HTML] Radiomics in head and neck cancer: from exploration to application

AJ Wong, A Kanwar, AS Mohamed… - Translational cancer …, 2016 - ncbi.nlm.nih.gov
In the context of clinical oncology, a fundamental goal of radiomics is the extraction of large
amounts of quantitative features whose subsequent analysis can be used for decision …

Texture analysis and its applications in biomedical imaging: A survey

MK Ghalati, A Nunes, H Ferreira… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Texture analysis describes a variety of image analysis techniques that quantify the variation
in intensity and pattern. This paper provides an overview of several texture analysis …

Texture analysis and machine learning to characterize suspected thyroid nodules and differentiated thyroid cancer: Where do we stand?

M Sollini, L Cozzi, A Chiti, M Kirienko - European journal of radiology, 2018 - Elsevier
In thyroid imaging,“texture” refers to the echographic appearence of the parenchyma or a
nodule. However, definition of the image characteristics is operator dependent and …

Radiomics applications in head and neck tumor imaging: a narrative review

M Tortora, L Gemini, A Scaravilli, L Ugga… - Cancers, 2023 - mdpi.com
Simple Summary Head and neck tumors (HNTs) are associated with a high mortality due to
their commonly insidious and asymptomatic development. Regarding risk stratification and …

Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer

JC Korte, C Cardenas, N Hardcastle, T Kron, J Wang… - Scientific reports, 2021 - nature.com
Radiomics is a promising technique for discovering image based biomarkers of therapy
response in cancer. Reproducibility of radiomics features is a known issue that is addressed …

Exploring applications of radiomics in magnetic resonance imaging of head and neck cancer: a systematic review

A Jethanandani, TA Lin, S Volpe, H Elhalawani… - Frontiers in …, 2018 - frontiersin.org
Background Radiomics has been widely investigated for non-invasive acquisition of
quantitative textural information from anatomic structures. While the vast majority of radiomic …

Texture and shape analysis of diffusion‐weighted imaging for thyroid nodules classification using machine learning

A Sharafeldeen, M Elsharkawy, R Khaled… - Medical …, 2022 - Wiley Online Library
Purpose To assess whether the integration between (a) functional imaging features that will
be extracted from diffusion‐weighted imaging (DWI); and (b) shape and texture imaging …
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