Texture Based | List of Frontiers open access articles

Original Research

Published on 17 Jan 2022

Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography

in Health Technology Implementation

Luís Vinícius de Moura
Christian Mattjie
Caroline Machado Dartora
Rodrigo C. Barros
Ana Maria Marques da Silva

Frontiers in Digital Health

doi 10.3389/fdgth.2021.662343

14,555 views
30 citations

Original Research

Published on 19 Apr 2024

A CT texture-based nomogram for predicting futile reperfusion in patients with intraparenchymal hyperdensity after endovascular thrombectomy for acute anterior circulation large vessel occlusion

in Endovascular and Interventional Neurology

Meijuan Dong
Chun Chen
Wei Chen
Kun An

Frontiers in Neurology

doi 10.3389/fneur.2024.1327585

1,640 views
1 citation

Original Research

Published on 28 Oct 2022

Influence of contrast and texture based image modifications on the performance and attention shift of U-Net models for brain tissue segmentation

in Brain Imaging Methods

Suhang You
Mauricio Reyes

Frontiers in Neuroimaging

doi 10.3389/fnimg.2022.1012639

3,506 views
9 citations

Original Research

Published on 28 Feb 2025

Trajectories of working memory and decision making abilities along juvenile development in mice

in Neurodevelopment

Ann Marlene Thies
Irina Pochinok
Annette Marquardt
Maria Dorofeikova
Ileana L. Hanganu-Opatz
Jastyn A. Pöpplau

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1524931

3,510 views
1 citation

Original Research

Published on 30 Jul 2019

Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging

Donnie Kim
Nicholas Wang
Viswesh Ravikumar
D. R. Raghuram
Jinju Li
Ankit Patel
Richard E. Wendt
Ganesh Rao
Arvind Rao

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2019.00052

10,970 views
30 citations

Original Research

Published on 17 Apr 2025

Classification of collagen remodeling in asthma using second-harmonic generation imaging, supervised machine learning and texture-based analysis

in Computational BioImaging

Natasha N. Kunchur
Joshua J. A. Poole
Jesse Levine
Tillie-Louise Hackett
Rebecca Thornhill
Leila B. Mostaço-Guidolin

Frontiers in Bioinformatics

doi 10.3389/fbinf.2025.1539936

2,677 views

Original Research

Published on 23 Apr 2021

Pre-Immunotherapy Contrast-Enhanced CT Texture-Based Classification: A Useful Approach to Non-Small Cell Lung Cancer Immunotherapy Efficacy Prediction

in Cancer Imaging and Image-directed Interventions

Leilei Shen
Hongchao Fu
Guangyu Tao
Xuemei Liu
Zheng Yuan
Xiaodan Ye

Frontiers in Oncology

doi 10.3389/fonc.2021.591106

4,918 views
28 citations

Original Research

Published on 03 Sep 2019

Three-Dimensional Texture Analysis Based on PET/CT Images to Distinguish Hepatocellular Carcinoma and Hepatic Lymphoma

in Cancer Imaging and Image-directed Interventions

Hanyue Xu
Wen Guo
Xiwei Cui
Hongyu Zhuo
Yinan Xiao
Xuejin Ou
Yunuo Zhao
Tao Zhang
Xuelei Ma

Frontiers in Oncology

doi 10.3389/fonc.2019.00844

4,372 views
30 citations

Original Research

Published on 22 Jul 2021

Developing a Radiomics Signature for Supratentorial Extra-Ventricular Ependymoma Using Multimodal MR Imaging

in Applied Neuroimaging

Apoorva Safai
Sumeet Shinde
Manali Jadhav
Tanay Chougule
Abhilasha Indoria
Manoj Kumar
Vani Santosh
Shumyla Jabeen
Manish Beniwal
Subhash Konar

Frontiers in Neurology

doi 10.3389/fneur.2021.648092

4,996 views
4 citations

Original Research

Published on 20 Mar 2023

A radiomics approach to the diagnosis of femoroacetabular impingement

in Artificial Intelligence in Radiology

Eros Montin
Richard Kijowski
Thomas Youm
Riccardo Lattanzi

Frontiers in Radiology

doi 10.3389/fradi.2023.1151258

4,529 views
13 citations

Original Research

Published on 02 Oct 2023

Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture features

in Cancer Imaging and Image-directed Interventions

Aryan Safakish
Lakshmanan Sannachi
Daniel DiCenzo
Christopher Kolios
Ana Pejović-Milić
Gregory J. Czarnota

Frontiers in Oncology

doi 10.3389/fonc.2023.1258970

2,778 views
15 citations

Original Research

Published on 29 May 2019

Differentiation Between G1 and G2/G3 Phyllodes Tumors of Breast Using Mammography and Mammographic Texture Analysis

in Women's Cancer

Wen Jing Cui
Cheng Wang
Ling Jia
Shuai Ren
Shao Feng Duan
Can Cui
Xiao Chen
Zhong Qiu Wang

Frontiers in Oncology

doi 10.3389/fonc.2019.00433

7,360 views
23 citations

Original Research

Published on 25 Jun 2021

Comparison of Diagnostic Performance of Spread Through Airspaces of Lung Adenocarcinoma Based on Morphological Analysis and Perinodular and Intranodular Radiomic Features on Chest CT Images

in Cancer Imaging and Image-directed Interventions

Lin Qi
Xiaohu Li
Linyang He
Guohua Cheng
Yongjun Cai
Ke Xue
Ming Li

Frontiers in Oncology

doi 10.3389/fonc.2021.654413

5,249 views
29 citations

Original Research

Published on 06 Nov 2025

Radiomic signatures from postprocedural MRI thalamotomy lesion can predict long-term clinical outcome in patients with tremor after MRgFUS: a pilot study

in Neuroradiology

Antonio Innocenzi
Sara Peluso
Federico Bruno
Laura Balducci
Ettore Rocchi
Michela Bellini
Alessia Catalucci
Patrizia Sucapane
Gennaro Saporito
Tommasina Russo

Frontiers in Radiology

doi 10.3389/fradi.2025.1683274

1,802 views
1 citation

Original Research

Published on 16 Jul 2025

Advancing patient care with AI: a unified framework for medical image segmentation using transfer learning and hybrid feature extraction

in Precision Medicine

Nazife Çevik
Taner Çevik
Onur Osman
Shtwai Alsubai
Jawad Rasheed

Frontiers in Medicine

doi 10.3389/fmed.2025.1589587

2,272 views
1 citation

Original Research

Published on 19 Dec 2023

Optimizing window size and directional parameters of GLCM texture features for estimating rice AGB based on UAVs multispectral imagery

in Sustainable and Intelligent Phytoprotection

Jikai Liu
Yongji Zhu
Lijuan Song
Xiangxiang Su
Jun Li
Jing Zheng
Xueqing Zhu
Lantian Ren
Wenhui Wang
Xinwei Li

Frontiers in Plant Science

doi 10.3389/fpls.2023.1284235

6,248 views
32 citations

Articles

Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography

A CT texture-based nomogram for predicting futile reperfusion in patients with intraparenchymal hyperdensity after endovascular thrombectomy for acute anterior circulation large vessel occlusion

Influence of contrast and texture based image modifications on the performance and attention shift of U-Net models for brain tissue segmentation

Trajectories of working memory and decision making abilities along juvenile development in mice

Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging

Classification of collagen remodeling in asthma using second-harmonic generation imaging, supervised machine learning and texture-based analysis

Pre-Immunotherapy Contrast-Enhanced CT Texture-Based Classification: A Useful Approach to Non-Small Cell Lung Cancer Immunotherapy Efficacy Prediction

Three-Dimensional Texture Analysis Based on PET/CT Images to Distinguish Hepatocellular Carcinoma and Hepatic Lymphoma

Developing a Radiomics Signature for Supratentorial Extra-Ventricular Ependymoma Using Multimodal MR Imaging

A radiomics approach to the diagnosis of femoroacetabular impingement

Predicting head and neck cancer treatment outcomes with pre-treatment quantitative ultrasound texture features and optimising machine learning classifiers with texture-of-texture features

Differentiation Between G1 and G2/G3 Phyllodes Tumors of Breast Using Mammography and Mammographic Texture Analysis

Comparison of Diagnostic Performance of Spread Through Airspaces of Lung Adenocarcinoma Based on Morphological Analysis and Perinodular and Intranodular Radiomic Features on Chest CT Images

Radiomic signatures from postprocedural MRI thalamotomy lesion can predict long-term clinical outcome in patients with tremor after MRgFUS: a pilot study

Advancing patient care with AI: a unified framework for medical image segmentation using transfer learning and hybrid feature extraction

Optimizing window size and directional parameters of GLCM texture features for estimating rice AGB based on UAVs multispectral imagery