CT Image

Computed tomography (CT) imaging produces detailed 3D images of the body, crucial for diagnosis and treatment planning across various medical specialties. Current research emphasizes improving CT image analysis through deep learning, focusing on architectures like U-Nets, Vision Transformers, and diffusion models for tasks such as organ segmentation, lesion detection, and image enhancement. These advancements aim to increase diagnostic accuracy, improve treatment planning, reduce radiation exposure, and enable more efficient workflows in clinical settings.

Papers

December 15, 2022

Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images
Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren
CT Image Multi Stage Airway Segmentation Airway Tree Context Aware Transformer Pulmonary Airway Segmentation

December 6, 2022

Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks
Saúl Alonso-Monsalve, Leigh H. Whitehead, Adam Aurisano, Lorena Escudero Sanchez
CT Image Automatic Segmentation Random Sparsification Cancer Detection Sparse Convolutional Downsampling Method

November 25, 2022

Non-invasive Liver Fibrosis Screening on CT Images using Radiomics
Jay J. Yoo, Khashayar Namdar, Sean Carey, Sandra E. Fischer, Chris McIntosh, Farzad Khalvati, Patrik Rogalla
CT Image Radiomics Feature Contrast Enhanced Non Alcoholic Fatty Liver Disease

November 18, 2022

Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images
Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec, Lijun Lu, Mathieu Hatt
Segmentation Based Approach CT Image Radiomics Feature Neck Cancer Joint Neural

November 14, 2022

TriDoNet: A Triple Domain Model-driven Network for CT Metal Artifact Reduction
Baoshun Shi, Ke Jiang, Shaolei Zhang, Qiusheng Lian, Yanwei Qin
CT Image Metal Artifact Reduction

October 6, 2022

September 24, 2022

Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models
Matteo Ferrante, Lisa Rinaldi, Francesca Botta, Xiaobin Hu, Andreas Dolp, Marta Minotti, Francesca De Piano, Gianluigi Funicelli, Stefania Volpe, Federica Bellerba, Paolo De Marco, Sara Raimondi, Stefania Rizzo, Kuangyu Shi, Marta Cremonesi, Barbara A. Jereczek-Fossa, Lorenzo Spaggiari, Filippo De Marinis, Roberto Orecchia, Daniela Origgi
Deep Learning CT Image Radiomics Feature Lesion Segmentation Automatic Segmentation nnU Net Lung Lesion

September 16, 2022

Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images
Yige Peng, Jinman Kim, Dagan Feng, Lei Bi
Tumor Segmentation CT Image Positron Emission Tomography Whole Body False Positive Tumor Detection Tumor Sub Region

September 7, 2022

Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection Segmentation System
Runmin Cong, Yumo Zhang, Ning Yang, Haisheng Li, Xueqi Zhang, Ruochen Li, Zewen Chen, Yao Zhao, Sam Kwong
CT Image Ventilator Associated Pneumonia

August 30, 2022

Automated recognition of the pericardium contour on processed CT images using genetic algorithms
E. O. Rodrigues, L. O. Rodrigues, L. S. N. Oliveira, A. Conci, P. Liatsis
Genetic Algorithm Recognition Rate CT Image Human Heart Inadequate Contour Encoding Optimal Ellipsoid

August 19, 2022

Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images
Eva Schnider, Antal Huck, Mireille Toranelli, Georg Rauter, Azhar Zam, Magdalena Müller-Gerbl, Philippe Cattin
CT Image Bone Tissue Bone Segmentation Front Door Criterion Ensemble Uncertainty

August 11, 2022

TotalSegmentator: robust segmentation of 104 anatomical structures in CT images
Jakob Wasserthal, Hanns-Christian Breit, Manfred T. Meyer, Maurice Pradella, Daniel Hinck, Alexander W. Sauter, Tobias Heye, Daniel Boll, Joshy Cyriac, Shan Yang, Michael Bach, Martin Segeroth
Segmentation Model CT Image Anatomical Structure Robust Segmentation Large Scale TotalSegmentator Dataset

July 24, 2022

Quad-Net: Quad-domain Network for CT Metal Artifact Reduction
Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan
CT Image Metal Artifact Reduction Domain Network

July 17, 2022

BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images
Runmin Cong, Haowei Yang, Qiuping Jiang, Wei Gao, Haisheng Li, Cong Wang, Yao Zhao, Sam Kwong
CT Image Semantic Description Automatic Segmentation Document Boundary Region Segmentation Semantic Reconstruction

July 7, 2022

The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning
Alireza Borjali, Soheil Ashkani-Esfahani, Rohan Bhimani, Daniel Guss, Orhun K. Muratoglu, Christopher W. DiGiovanni, Kartik Mangudi Varadarajan, Bart Lubberts
Deep Learning Greater Public Use CT Image Multiple Gait Low Dose Computed Tomography

July 4, 2022

July 1, 2022

COVID-19 Detection Using Transfer Learning Approach from Computed Tomography Images
Kenan Morani, Esra Kaya Ayana, Devrim Unay
CT Image COVID 19 Detection Transfer Learning Approach Xception Model

May 30, 2022

GAN-based Medical Image Small Region Forgery Detection via a Two-Stage Cascade Framework
Jianyi Zhang, Xuanxi Huang, Yaqi Liu, Yuyang Han, Zixiao Xiang
Generative Adversarial Network Medical Image CT Image DeepFake Algorithm

CT Image

Papers

Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images

Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks

Non-invasive Liver Fibrosis Screening on CT Images using Radiomics

Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images

TriDoNet: A Triple Domain Model-driven Network for CT Metal Artifact Reduction

FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images

COVID-19 Detection Using Segmentation, Region Extraction and Classification Pipeline

Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models

Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images

Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection Segmentation System

Automated recognition of the pericardium contour on processed CT images using genetic algorithms

Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images

TotalSegmentator: robust segmentation of 104 anatomical structures in CT images

Quad-Net: Quad-domain Network for CT Metal Artifact Reduction

BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images

The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning

Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans

Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images

COVID-19 Detection Using Transfer Learning Approach from Computed Tomography Images

GAN-based Medical Image Small Region Forgery Detection via a Two-Stage Cascade Framework