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 …
in intensity and pattern. This paper provides an overview of several texture analysis …
3D texture feature extraction and classification using GLCM and LBP-based descriptors
S Barburiceanu, R Terebes, S Meza - Applied Sciences, 2021 - mdpi.com
Lately, 3D imaging techniques have achieved a lot of progress due to recent developments
in 3D sensor technologies. This leads to a great interest regarding 3D image feature …
in 3D sensor technologies. This leads to a great interest regarding 3D image feature …
Multiscale representation learning for image classification: A survey
Feature representation has been widely used and developed recently. Multiscale features
have led to remarkable breakthroughs for representation learning process in many computer …
have led to remarkable breakthroughs for representation learning process in many computer …
Standardised convolutional filtering for radiomics
A Depeursinge, V Andrearczyk, P Whybra… - arXiv preprint arXiv …, 2020 - arxiv.org
The Image Biomarker Standardisation Initiative (IBSI) aims to improve reproducibility of
radiomics studies by standardising the computational process of extracting image …
radiomics studies by standardising the computational process of extracting image …
Biomedical texture operators and aggregation functions: A methodological review and user's guide
A Depeursinge, J Fageot - Biomedical texture analysis, 2017 - Elsevier
This chapter reviews most popular texture analysis approaches under novel comparison
axes that are specific to biomedical imaging. A concise checklist is proposed as a user guide …
axes that are specific to biomedical imaging. A concise checklist is proposed as a user guide …
Analysis of Greenland mass changes based on GRACE four-dimensional wavelet decomposition
O Memarian Sorkhabi, J Asgari… - Remote Sensing …, 2021 - Taylor & Francis
Monitoring the melting of Greenland ice using various sensors is of great importance due to
global sea level rise. The mass changes in Greenland can be observed with the GRACE …
global sea level rise. The mass changes in Greenland can be observed with the GRACE …
Automatic segmentation and fibre orientation estimation from low resolution X-ray computed tomography images of 3D woven composites
Y Pannier, P Coupé, T Garrigues, M Gueguen… - Composite …, 2023 - Elsevier
In this work, we compare different methods for the automatic segmentation of
microtomographic images at the mesoscopic scale of 3D woven carbon fibre composite …
microtomographic images at the mesoscopic scale of 3D woven carbon fibre composite …
Local rotation invariance in 3D CNNs
Abstract Locally Rotation Invariant (LRI) image analysis was shown to be fundamental in
many applications and in particular in medical imaging where local structures of tissues …
many applications and in particular in medical imaging where local structures of tissues …
Exploring local rotation invariance in 3D CNNs with steerable filters
Abstract Locally Rotation Invariant (LRI) image analysis was shown to be fundamental in
many applications and in particular in medical imaging where local structures of tissues …
many applications and in particular in medical imaging where local structures of tissues …
Dimensionality reduction of SPD data based on Riemannian manifold tangent spaces and local affinity
W Gao, Z Ma, C Xiong, T Gao - Applied Intelligence, 2023 - Springer
Non-Euclidean data is increasingly used in practical applications. As a typical
representative, Symmetric Positive Definite (SPD) matrices can form a Riemannian manifold …
representative, Symmetric Positive Definite (SPD) matrices can form a Riemannian manifold …