Computed Tomography Images | List of Frontiers open access articles

Original Research

Published on 01 Aug 2022

Using deep learning to distinguish malignant from benign parotid tumors on plain computed tomography images

in Cancer Imaging and Image-directed Interventions

Ziyang Hu
Baixin Wang
Xiao Pan
Dantong Cao
Antian Gao
Xudong Yang
Ying Chen
Zitong Lin

Frontiers in Oncology

doi 10.3389/fonc.2022.919088

3,874 views
13 citations

Original Research

Published on 30 Nov 2022

Deep learning model for diagnosing early gastric cancer using preoperative computed tomography images

in Gastrointestinal Cancers: Gastric and Esophageal Cancers

Qingwen Zeng
Zongfeng Feng
Yanyan Zhu
Yang Zhang
Xufeng Shu
Ahao Wu
Lianghua Luo
Yi Cao
Jianbo Xiong
Hong Li

Frontiers in Oncology

doi 10.3389/fonc.2022.1065934

5,474 views
14 citations

Original Research

Published on 07 May 2021

A Deep Learning Model to Automate Skeletal Muscle Area Measurement on Computed Tomography Images

in Cancer Imaging and Image-directed Interventions

Kaushalya C. Amarasinghe
Jamie Lopes
Julian Beraldo
Nicole Kiss
Nicholas Bucknell
Sarah Everitt
Price Jackson
Cassandra Litchfield
Linda Denehy
Benjamin J. Blyth

Frontiers in Oncology

doi 10.3389/fonc.2021.580806

10,037 views
36 citations

Original Research

Published on 12 Nov 2024

An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images

in Cancer Imaging and Image-directed Interventions

Sehrish Javed
Touseef Ahmad Qureshi
Lixia Wang
Linda Azab
Srinivas Gaddam
Stephen J. Pandol
Debiao Li

Frontiers in Oncology

doi 10.3389/fonc.2024.1378691

3,472 views
5 citations

Original Research

Published on 20 Dec 2017

Deep Deconvolutional Neural Network for Target Segmentation of Nasopharyngeal Cancer in Planning Computed Tomography Images

in Radiation Oncology

Kuo Men
Xinyuan Chen
Ye Zhang
Tao Zhang
Jianrong Dai
Junlin Yi
Yexiong Li

Frontiers in Oncology

doi 10.3389/fonc.2017.00315

16,925 views
212 citations

Original Research

Published on 04 Aug 2023

Evaluation of computed tomography images under deep learning in the diagnosis of severe pulmonary infection

Mao Ming
Na Lu
Wei Qian

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1115167

2,611 views

Original Research

Published on 09 Nov 2022

Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images

in Cancer Imaging and Image-directed Interventions

Sehrish Javed
Touseef Ahmad Qureshi
Srinivas Gaddam
Lixia Wang
Linda Azab
Ashley Max Wachsman
Wansu Chen
Vahid Asadpour
Christie Younghae Jeon
Beichien Wu

Frontiers in Oncology

doi 10.3389/fonc.2022.1007990

5,835 views
38 citations

Original Research

Published on 16 Jul 2021

Spine and Individual Vertebrae Segmentation in Computed Tomography Images Using Geometric Flows and Shape Priors

in Computer Vision

Pulkit Khandelwal
D. Louis Collins
Kaleem Siddiqi

Frontiers in Computer Science

doi 10.3389/fcomp.2021.592296

10,265 views
11 citations

Original Research

Published on 25 Jul 2022

Deep learning predicts immune checkpoint inhibitor-related pneumonitis from pretreatment computed tomography images

in Computational Physiology and Medicine

Peixin Tan
Wei Huang
Lingling Wang
Guanhua Deng
Ye Yuan
Shili Qiu
Dong Ni
Shasha Du
Jun Cheng

Frontiers in Physiology

doi 10.3389/fphys.2022.978222

6,697 views
20 citations

Original Research

Published on 06 Oct 2023

Development of a deep learning model for early gastric cancer diagnosis using preoperative computed tomography images

in Gastrointestinal Cancers: Gastric and Esophageal Cancers

Zhihong Gao
Zhuo Yu
Xiang Zhang
Chun Chen
Zhifang Pan
Xiaodong Chen
Weihong Lin
Jun Chen
Qichuan Zhuge
Xian Shen

Frontiers in Oncology

doi 10.3389/fonc.2023.1265366

6,088 views
9 citations

Original Research

Published on 23 Oct 2024

Fuzzy C-means clustering algorithm applied in computed tomography images of patients with intracranial hemorrhage

Lintao Zhang
Dewen Song
Huiying Qiu
Lin Ye
Zengliang Xu

Frontiers in Neuroinformatics

doi 10.3389/fninf.2024.1440304

2,943 views
1 citation

Original Research

Published on 21 Oct 2025

Deep-learning-based automatic liver segmentation using computed tomography images in dogs

in Veterinary Imaging

Seungyeon Lee
Genya Shimbo
Nozomu Yokoyama
Kensuke Nakamura
Ren Togo
Takahiro Ogawa
Miki Haseyama
Mitsuyoshi Takiguchi

Frontiers in Veterinary Science

doi 10.3389/fvets.2025.1681820

2,683 views
3 citations

Original Research

Published on 23 Sep 2022

Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer

in Translational Medicine

Annarita Fanizzi
Giovanni Scognamillo
Alessandra Nestola
Santa Bambace
Samantha Bove
Maria Colomba Comes
Cristian Cristofaro
Vittorio Didonna
Alessia Di Rito
Angelo Errico

Frontiers in Medicine

doi 10.3389/fmed.2022.993395

3,204 views
8 citations

Original Research

Published on 11 Oct 2022

Contrastive learning and subtyping of post-COVID-19 lung computed tomography images

in Computational Physiology and Medicine

Frank Li
Xuan Zhang
Alejandro P. Comellas
Eric A. Hoffman
Tianbao Yang
Ching-Long Lin

Frontiers in Physiology

doi 10.3389/fphys.2022.999263

5,270 views
5 citations

General Commentary

Published on 28 Apr 2025

Commentary: An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images

in Cancer Imaging and Image-directed Interventions

Jiandong Cao
Yong Feng

Frontiers in Oncology

doi 10.3389/fonc.2025.1527723

1,446 views

Correction

Published on 22 Nov 2022

Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer

in Translational Medicine

Annarita Fanizzi
Giovanni Scognamillo
Alessandra Nestola
Santa Bambace
Samantha Bove
Maria Colomba Comes
Cristian Cristofaro
Vittorio Didonna
Alessia Di Rito
Angelo Errico

Frontiers in Medicine

doi 10.3389/fmed.2022.1089705

1,359 views

Articles

Using deep learning to distinguish malignant from benign parotid tumors on plain computed tomography images

Deep learning model for diagnosing early gastric cancer using preoperative computed tomography images

A Deep Learning Model to Automate Skeletal Muscle Area Measurement on Computed Tomography Images

An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images

Deep Deconvolutional Neural Network for Target Segmentation of Nasopharyngeal Cancer in Planning Computed Tomography Images

Evaluation of computed tomography images under deep learning in the diagnosis of severe pulmonary infection

Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images

Spine and Individual Vertebrae Segmentation in Computed Tomography Images Using Geometric Flows and Shape Priors

Deep learning predicts immune checkpoint inhibitor-related pneumonitis from pretreatment computed tomography images

Development of a deep learning model for early gastric cancer diagnosis using preoperative computed tomography images

Fuzzy C-means clustering algorithm applied in computed tomography images of patients with intracranial hemorrhage

Deep-learning-based automatic liver segmentation using computed tomography images in dogs

Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer

Contrastive learning and subtyping of post-COVID-19 lung computed tomography images

Commentary: An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images

Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer