Original Research

Published on 14 Jun 2023

The value of machine learning based radiomics model in preoperative detection of perineural invasion in gastric cancer: a two-center study

in Cancer Imaging and Image-directed Interventions

Xujie Gao
Jingli Cui
Lingwei Wang
Qiuyan Wang
Tingting Ma
Jilong Yang
Zhaoxiang Ye

Frontiers in Oncology

doi 10.3389/fonc.2023.1205163

2,015 views
2 citations

Correction

Published on 14 Jun 2023

Corrigendum: An ultrasonic-based radiomics nomogram for distinguishing between benign and malignant solid renal masses

in Cancer Imaging and Image-directed Interventions

Chunxiang Li
Ge Qiao
Jinghan Li
Lisha Qi
Xueqing Wei
Tan Zhang
Xing Li
Shu Deng
Xi Wei
Wenjuan Ma

Frontiers in Oncology

doi 10.3389/fonc.2023.1232714

896 views

Case Report

Published on 09 Jun 2023

Case Report: Desmoid tumor response to magnetic resonance-guided high intensity focused ultrasound over 4 years

in Cancer Imaging and Image-directed Interventions

Sin Yuin Yeo
Grischa Bratke
Peter Knöll
Sebastian Gottfried Walter
David Maintz
Holger Grüll

Frontiers in Oncology

doi 10.3389/fonc.2023.1124244

1,761 views
1 citation

Original Research

Published on 08 Jun 2023

Feasibility study of adaptive radiotherapy for esophageal cancer using artificial intelligence autosegmentation based on MR-Linac

in Cancer Imaging and Image-directed Interventions

Huadong Wang
Xin Liu
Yajun Song
Peijun Yin
Jingmin Zou
Xihua Shi
Yong Yin
Zhenjiang Li

Frontiers in Oncology

doi 10.3389/fonc.2023.1172135

2,994 views
1 citation

Systematic Review

Published on 07 Jun 2023

Radiomics for preoperative prediction of early recurrence in hepatocellular carcinoma: a meta-analysis

in Cancer Imaging and Image-directed Interventions

Huan Tian
Yong Xie
Zhiqun Wang

Frontiers in Oncology

doi 10.3389/fonc.2023.1114983

1,542 views
7 citations

Editorial

Published on 07 Jun 2023

Editorial: Tumor microenvironment targeted nanomedicine: a feasible strategy for cancer imaging and theranostics

in Cancer Imaging and Image-directed Interventions

Yiming Xu
Dawei Jiang
Weiyu Chen

Frontiers in Oncology

doi 10.3389/fonc.2023.1228910

926 views

Original Research

Published on 06 Jun 2023

A novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI

in Cancer Imaging and Image-directed Interventions

Naveed Ahmad
Jamal Hussain Shah
Muhammad Attique Khan
Jamel Baili
Ghulam Jillani Ansari
Usman Tariq
Ye Jin Kim
Jae-Hyuk Cha

Frontiers in Oncology

doi 10.3389/fonc.2023.1151257

4,429 views
13 citations

Editorial

Published on 06 Jun 2023

Editorial: Incorporation of texture analysis in diagnosing and characterizing cancer

in Cancer Imaging and Image-directed Interventions

Junbang Feng
Chuanming Li

Frontiers in Oncology

doi 10.3389/fonc.2023.1224644

985 views
4 citations

Case Report

Published on 06 Jun 2023

Case Report: Early detection of lung carcinoid in an asymptomatic individual by blood-test initiated PET-CT imaging

in Cancer Imaging and Image-directed Interventions

Simon Burg
Ralf Smeets
Martin Gosau
Katja Failing
Audrey Laure Céline Grust

Frontiers in Oncology

doi 10.3389/fonc.2023.1177237

3,467 views
2 citations

Review

Published on 02 Jun 2023

Artificial intelligence - based ultrasound elastography for disease evaluation - a narrative review

in Cancer Imaging and Image-directed Interventions

Xian-Ya Zhang
Qi Wei
Ge-Ge Wu
Qi Tang
Xiao-Fang Pan
Gong-Quan Chen
Di Zhang
Christoph F. Dietrich
Xin-Wu Cui

Frontiers in Oncology

doi 10.3389/fonc.2023.1197447

4,604 views
5 citations

Original Research

Published on 02 Jun 2023

A multi-class deep learning model for early lung cancer and chronic kidney disease detection using computed tomography images

in Cancer Imaging and Image-directed Interventions

Ananya Bhattacharjee
Sameh Rabea
Abhishek Bhattacharjee
Eslam B. Elkaeed
R. Murugan
Heba Mohammed Refat M. Selim
Ram Kumar Sahu
Gamal A. Shazly
Mounir M. Salem Bekhit

Frontiers in Oncology

doi 10.3389/fonc.2023.1193746

4,883 views
7 citations

Original Research

Published on 02 Jun 2023

The efficacy of 99mTc-HYNIC-PSMA SPECT/CT in detecting primary lesions and metastasis in newly diagnosed prostate cancer

in Cancer Imaging and Image-directed Interventions

Taisong Wang
Lingzhou Zhao
Wenli Qiao
Na Sun
Jinhua Zhao
Yan Xing

Frontiers in Oncology

doi 10.3389/fonc.2023.1165694

2,429 views
4 citations

Original Research

Published on 02 Jun 2023

CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors

in Cancer Imaging and Image-directed Interventions

Yin Yang
Fei Chen
Hongmei Liang
Yun Bai
Zhen Wang
Lei Zhao
Sai Ma
Qinghua Niu
Fan Li
Tianwu Xie

Frontiers in Oncology

doi 10.3389/fonc.2023.1166988

2,395 views
4 citations

Correction

Published on 31 May 2023

Corrigendum: Clinical radiomics-based machine learning versus three-dimension convolutional neural network analysis for differentiation of thymic epithelial tumors from other prevascular mediastinal tumors on chest computed tomography scan

in Cancer Imaging and Image-directed Interventions

Chao-Chun Chang
En-Kuei Tang
Yu-Feng Wei
Chia-Ying Lin
Fu-Zong Wu
Ming-Ting Wu
Yi-Sheng Liu
Yi-Ting Yen
Mi-Chia Ma
Yau-Lin Tseng

Frontiers in Oncology

doi 10.3389/fonc.2023.1220962

1,098 views

Review

Published on 30 May 2023

Interventional radiological therapies in colorectal hepatic metastases

in Cancer Imaging and Image-directed Interventions

Sai Swarupa R. Vulasala
Patrick D. Sutphin
Samira Kethu
Nirmal K. Onteddu
Sanjeeva P. Kalva

Frontiers in Oncology

doi 10.3389/fonc.2023.963966

3,781 views
2 citations

Original Research

Published on 25 May 2023

Densely Convolutional Spatial Attention Network for nuclei segmentation of histological images for computational pathology

in Cancer Imaging and Image-directed Interventions

Rashadul Islam Sumon
Subrata Bhattacharjee
Yeong-Byn Hwang
Hafizur Rahman
Hee-Cheol Kim
Wi-Sun Ryu
Dong Min Kim
Nam-Hoon Cho
Heung-Kook Choi

Frontiers in Oncology

doi 10.3389/fonc.2023.1009681

2,484 views
6 citations

Navigation group

Articles

The value of machine learning based radiomics model in preoperative detection of perineural invasion in gastric cancer: a two-center study

Corrigendum: An ultrasonic-based radiomics nomogram for distinguishing between benign and malignant solid renal masses

Case Report: Desmoid tumor response to magnetic resonance-guided high intensity focused ultrasound over 4 years

Feasibility study of adaptive radiotherapy for esophageal cancer using artificial intelligence autosegmentation based on MR-Linac

Radiomics for preoperative prediction of early recurrence in hepatocellular carcinoma: a meta-analysis

Editorial: Tumor microenvironment targeted nanomedicine: a feasible strategy for cancer imaging and theranostics

A novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI

Editorial: Incorporation of texture analysis in diagnosing and characterizing cancer

Case Report: Early detection of lung carcinoid in an asymptomatic individual by blood-test initiated PET-CT imaging

Artificial intelligence - based ultrasound elastography for disease evaluation - a narrative review

A multi-class deep learning model for early lung cancer and chronic kidney disease detection using computed tomography images

The efficacy of 99mTc-HYNIC-PSMA SPECT/CT in detecting primary lesions and metastasis in newly diagnosed prostate cancer

CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors

Corrigendum: Clinical radiomics-based machine learning versus three-dimension convolutional neural network analysis for differentiation of thymic epithelial tumors from other prevascular mediastinal tumors on chest computed tomography scan

Interventional radiological therapies in colorectal hepatic metastases

Densely Convolutional Spatial Attention Network for nuclei segmentation of histological images for computational pathology