Results 21 to 30 of about 49,221,189 (338)
Multi texture analysis of colorectal cancer continuum using multispectral imagery [PDF]
, 2016 Purpose This paper proposes to characterize the continuum of colorectal cancer (CRC) using multiple texture features extracted from multispectral optical microscopy images.
Camel Tanougast (2270119) +17 more
core +2 more sources
Unenhanced CT texture analysis with machine learning for differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma [PDF]
, 2021 Differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma (ML) remains challenging on cross-sectional images. The aim of this study is to investigate the usefulness of texture features on unenhanced CT for differentiating ...
Yamashiro, Tsuneo +5 more
core +1 more source
Diagnostics, 2020 Texture 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.
M. Espinasse +7 more
semanticscholar +1 more source
Frontiers in Neurology, 2022 PurposeTexture analysis based on clinical images had been widely used in neurological diseases. This study aimed to achieve depth information of computed tomography (CT) images by texture analysis and to establish a model for noninvasive evaluation of ...
Yingchi Shan +6 more
doaj +1 more source
Multi-resolution texture classification based on local image orientation [PDF]
, 2008 The aim of this paper is to evaluate quantitatively the discriminative power of the image orientation in the texture classification process. In this regard, we have evaluated the performance of two texture classification schemes where the image ...
Ovidiu Ghita +5 more
core +2 more sources
Feasibility of the Quantitative Assessment Method for CT Quality Control in Phantom Image Evaluation
Applied Sciences, 2021 Computed tomography (CT) quality control (QC) is regularly performed with standard phantoms, to bar faulty equipment from medical use. Its accuracy may be improved by replacing qualitative methods based on good visual distinction with pixel value-based ...
Ki Baek Lee +3 more
doaj +1 more source
Remote Sensing, 2019 The paper presents a comparison of the efficacy of several texture analysis methods as tools for improving land use/cover classification in satellite imagery.
P. Kupidura
semanticscholar +1 more source
Bayesian texture classification and retrieval based on multiscale feature vector [PDF]
, 2011 This paper proposes a supervised multiscale Bayesian texture classifier. The classifier exploits the dual-tree complex wavelet transform (DT-CWT) to obtain complex-valued multiscale representations of training texture samples for each texture class. The
Tjahjadi, Tardi +3 more
core +1 more source
Biomedicines, 2021 Aim: To evaluate if conventional Positron emission tomography (PET) parameters and radiomic features (RFs) extracted by 18F-FDG-PET/CT can differentiate among different histological subtypes of lung neuroendocrine neoplasms (Lu-NENs). Methods: Forty-four
Philippe Thuillier +10 more
doaj +1 more source
Radiology, 2019 Background Previous studies have suggested that texture analysis is a promising tool in the diagnosis, characterization, and assessment of treatment response in various cancer types.
N. L. Eun +6 more
semanticscholar +1 more source