Gray Level | List of Frontiers open access articles

Original Research

Published on 18 Oct 2021

MRI-Based Machine Learning in Differentiation Between Benign and Malignant Breast Lesions

in Cancer Imaging and Image-directed Interventions

Yanjie Zhao
Rong Chen
Ting Zhang
Chaoyue Chen
Muhetaer Muhelisa
Jingting Huang
Yan Xu
Xuelei Ma

Frontiers in Oncology

doi 10.3389/fonc.2021.552634

4,916 views
18 citations

Original Research

Published on 07 Aug 2020

Application of Texture Analysis Based on Sagittal Fat-Suppression and Oblique Axial T2-Weighted Magnetic Resonance Imaging to Identify Lymph Node Invasion Status of Rectal Cancer

in Cancer Imaging and Image-directed Interventions

Lirong Song
Jiandong Yin

Frontiers in Oncology

doi 10.3389/fonc.2020.01364

4,512 views
34 citations

Original Research

Published on 27 Aug 2021

Enhanced CT-Based Radiomics to Predict Micropapillary Pattern Within Lung Invasive Adenocarcinoma

in Cancer Imaging and Image-directed Interventions

Yunyu Xu
Wenbin Ji
Liqiao Hou
Shuangxiang Lin
Yangyang Shi
Chao Zhou
Yinnan Meng
Wei Wang
Xiaofeng Chen
Meihao Wang

Frontiers in Oncology

doi 10.3389/fonc.2021.704994

4,760 views
23 citations

Original Research

Published on 07 Jan 2022

Dynamic PET Imaging Using Dual Texture Features

Zhanglei Ouyang
Shujun Zhao
Zhaoping Cheng
Yanhua Duan
Zixiang Chen
Na Zhang
Dong Liang
Zhanli Hu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.819840

3,938 views
5 citations

Original Research

Published on 22 Mar 2023

Machine learning based gray-level co-occurrence matrix early warning system enables accurate detection of colorectal cancer pelvic bone metastases on MRI

in Gastrointestinal Cancers: Colorectal Cancer

Jinlian Jin
Haiyan Zhou
Shulin Sun
Zhe Tian
Haibing Ren
Jinwu Feng
Xinping Jiang

Frontiers in Oncology

doi 10.3389/fonc.2023.1121594

3,782 views
11 citations

Original Research

Published on 03 Dec 2025

Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model

in Nuclear Medicine

Xiaobing Li
Wei Wang
Xuemei Li
Qianqian Liu
Yongsheng Liu
Li Wang
Qian Li
Li Zhang
Wutao Xie

Frontiers in Medicine

doi 10.3389/fmed.2025.1675840

1,264 views

Original Research

Published on 09 Feb 2023

Antiplatelet therapy adjustment improved the radiomic characteristics of acute silent cerebral infarction after stent-assisted coiling in patients with high on-treatment platelet reactivity: A prospective study

in Brain Imaging Methods

Wenqiang Li
Anxin Wang
Chao Ma
Yanmin Wang
Yapeng Zhao
Yisen Zhang
Kun Wang
Ying Zhang
Yang Wang
Xinjian Yang

Frontiers in Neuroscience

doi 10.3389/fnins.2023.1068047

2,684 views
5 citations

Original Research

Published on 02 Sep 2021

Establishing ADC-Based Histogram and Texture Features for Early Treatment-Induced Changes in Head and Neck Squamous Cell Carcinoma

in Radiation Oncology

Anna Rodrigues
Kelly Loman
Jeff Nawrocki
Jenny K. Hoang
Zheng Chang
Yvonne M. Mowery
Taofik Oyekunle
Donna Niedzwiecki
David M. Brizel
Oana Craciunescu

Frontiers in Oncology

doi 10.3389/fonc.2021.708398

2,428 views
6 citations

Original Research

Published on 31 Aug 2016

Event-Based Tone Mapping for Asynchronous Time-Based Image Sensor

in Neuromorphic Engineering

Camille Simon Chane
Sio-Hoi Ieng
Christoph Posch
Ryad B. Benosman

Frontiers in Neuroscience

doi 10.3389/fnins.2016.00391

8,364 views
10 citations

Original Research

Published on 16 Sep 2022

Preoperative radiomics model using gadobenate dimeglumine-enhanced magnetic resonance imaging for predicting β-catenin mutation in patients with hepatocellular carcinoma: A retrospective study

in Cancer Imaging and Image-directed Interventions

Fengxia Zeng
Hui Dai
Xu Li
Le Guo
Ningyang Jia
Jun Yang
Danping Huang
Hui Zeng
Weiguo Chen
Ling Zhang

Frontiers in Oncology

doi 10.3389/fonc.2022.916126

2,501 views
5 citations

Original Research

Published on 29 Oct 2025

Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosis

in Brain Imaging Methods

Hamza Khan
Henry C. Woodruff
Diana L. Giraldo
Lorin Werthen-Brabants
Shruti Atul Mali
Sina Amirrajab
Edward De Brouwer
Veronica Popescu
Bart Van Wijmeersch
Oliver Gerlach

Frontiers in Neuroscience

doi 10.3389/fnins.2025.1610401

1,902 views

Original Research

Published on 01 May 2024

HO-SsNF: heap optimizer-based self-systematized neural fuzzy approach for cervical cancer classification using pap smear images

in Cancer Imaging and Image-directed Interventions

Ashok Shanmugam
Kavitha KVN
Prianka Ramachandran Radhabai
Senthilnathan Natarajan
Agbotiname Lucky Imoize
Stephen Ojo
Thomas I. Nathaniel

Frontiers in Oncology

doi 10.3389/fonc.2024.1264611

1,773 views
5 citations

Original Research

Published on 22 Oct 2025

Multi-modal texture fusion network for detecting AI-generated images

in AI in Finance

Haozheng Yu
Bing Xu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1663292

2,479 views
1 citation

Original Research

Published on 16 Aug 2021

Effects of New Bayesian Penalized Likelihood Reconstruction Algorithm on Visualization and Quantification of Upper Abdominal Malignant Tumors in Clinical FDG PET/CT Examinations

in Cancer Imaging and Image-directed Interventions

Mitsuaki Tatsumi
Fumihiko Soeda
Takashi Kamiya
Junpei Ueda
Daisuke Katayama
Keiko Matsunaga
Tadashi Watabe
Hiroki Kato
Noriyuki Tomiyama

Frontiers in Oncology

doi 10.3389/fonc.2021.707023

2,656 views
5 citations

Original Research

Published on 29 Apr 2020

A Non-invasive Method to Diagnose Lung Adenocarcinoma

in Cancer Imaging and Image-directed Interventions

Mengmeng Yan
Weidong Wang

Frontiers in Oncology

doi 10.3389/fonc.2020.00602

4,999 views
15 citations

Mini Review

Published on 24 Aug 2023

Spatial assessments in texture analysis: what the radiologist needs to know

in Artificial Intelligence in Radiology

Bino A. Varghese
Brandon K. K. Fields
Darryl H. Hwang
Vinay A. Duddalwar
George R. Matcuk
Steven Y. Cen

Frontiers in Radiology

doi 10.3389/fradi.2023.1240544

4,575 views
17 citations

Articles

MRI-Based Machine Learning in Differentiation Between Benign and Malignant Breast Lesions

Application of Texture Analysis Based on Sagittal Fat-Suppression and Oblique Axial T2-Weighted Magnetic Resonance Imaging to Identify Lymph Node Invasion Status of Rectal Cancer

Enhanced CT-Based Radiomics to Predict Micropapillary Pattern Within Lung Invasive Adenocarcinoma

Dynamic PET Imaging Using Dual Texture Features

Machine learning based gray-level co-occurrence matrix early warning system enables accurate detection of colorectal cancer pelvic bone metastases on MRI

Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model

Antiplatelet therapy adjustment improved the radiomic characteristics of acute silent cerebral infarction after stent-assisted coiling in patients with high on-treatment platelet reactivity: A prospective study

Establishing ADC-Based Histogram and Texture Features for Early Treatment-Induced Changes in Head and Neck Squamous Cell Carcinoma

Event-Based Tone Mapping for Asynchronous Time-Based Image Sensor

Preoperative radiomics model using gadobenate dimeglumine-enhanced magnetic resonance imaging for predicting β-catenin mutation in patients with hepatocellular carcinoma: A retrospective study

Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosis

HO-SsNF: heap optimizer-based self-systematized neural fuzzy approach for cervical cancer classification using pap smear images

Multi-modal texture fusion network for detecting AI-generated images

Effects of New Bayesian Penalized Likelihood Reconstruction Algorithm on Visualization and Quantification of Upper Abdominal Malignant Tumors in Clinical FDG PET/CT Examinations

A Non-invasive Method to Diagnose Lung Adenocarcinoma

Spatial assessments in texture analysis: what the radiologist needs to know