International audienceTexture analysis in medical imaging is a promising tool that is designed to improve the characterization of abnormal images from patients, to ultimately serve as a predictive or prognostic biomarker. However, the nature of image acquisition itself implies variability in each pixel/voxel value that could jeopardize the usefulness of texture analysis in the medical field. In this review, a search was performed to identify current published data for computed tomography (CT) texture reproducibility and variability. On the basis of this analysis, the critical steps were identified with a view of using texture analysis as a reliable tool in medical imaging. The need to specify the CT scanners used and the associated paramete...
In computer vision applications including object recognition, surface defect detection, pattern reco...
(18)F-Fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) is now ...
Patients with colon cancer are at risk of developing metastases on the liver. A CT scan is conducted...
International audienceTexture analysis in medical imaging is a promising tool that is designed to im...
International audiencePurpose: Texture analysis is an emerging tool in the field of medical imaging ...
Texture analysis (TA) applied to CT imaging is an intensely studied topic and many studies suggested...
International audienceAfter seminal papers over the period 2009 - 2011, the use of texture analysis ...
Computed tomography (CT) images are routinely used to assess ischemic brain stroke in the acute phas...
BackgroundTumor spatial heterogeneity is an important prognostic factor, which may be reflected in m...
Magnetic resonance imaging (MRI) is a valuable tool for medical diagnosis, as it is a non-invasive t...
Radiomics treats images as quantitative data and promises to improve cancer prediction in radiology ...
Noise is one of the major problems that hinder an effective texture analysis of disease in medical i...
International audienceTexture analysis was performed in three different MRI units on T1 and T2-weigh...
In computer vision applications including object recognition, surface defect detection, pattern reco...
(18)F-Fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) is now ...
Patients with colon cancer are at risk of developing metastases on the liver. A CT scan is conducted...
International audienceTexture analysis in medical imaging is a promising tool that is designed to im...
International audiencePurpose: Texture analysis is an emerging tool in the field of medical imaging ...
Texture analysis (TA) applied to CT imaging is an intensely studied topic and many studies suggested...
International audienceAfter seminal papers over the period 2009 - 2011, the use of texture analysis ...
Computed tomography (CT) images are routinely used to assess ischemic brain stroke in the acute phas...
BackgroundTumor spatial heterogeneity is an important prognostic factor, which may be reflected in m...
Magnetic resonance imaging (MRI) is a valuable tool for medical diagnosis, as it is a non-invasive t...
Radiomics treats images as quantitative data and promises to improve cancer prediction in radiology ...
Noise is one of the major problems that hinder an effective texture analysis of disease in medical i...
International audienceTexture analysis was performed in three different MRI units on T1 and T2-weigh...
In computer vision applications including object recognition, surface defect detection, pattern reco...
(18)F-Fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) is now ...
Patients with colon cancer are at risk of developing metastases on the liver. A CT scan is conducted...