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

August 21, 2023

Automated Identification of Failure Cases in Organ at Risk Segmentation Using Distance Metrics: A Study on CT Data
Amin Honarmandi Shandiz, Attila Rádics, Rajesh Tamada, Makk Árpád, Karolina Glowacka, Lehel Ferenczi, Sandeep Dutta, Michael Fanariotis
CT Image Automatic Identification Distance Metric Treatment Planning Automatic Thresholding Risk Segmentation Failure Explanation

August 16, 2023

ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions
Dechao Tang, Tianming Du, Deguo Ma, Zhiyu Ma, Hongzan Sun, Marcin Grzegorzek, Huiyan Jiang, Chen Li
Semantic Segmentation Data Detection CT Image

August 9, 2023

Classification of lung cancer subtypes on CT images with synthetic pathological priors
Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas
Classification Code CT Image Pathology Image Pathological Feature

July 24, 2023

Multi-View Vertebra Localization and Identification from CT Images
Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui, Dinggang Shen
Multi View Person Identification CT Image Multi View Contrastive Learning

July 10, 2023

StyleGAN2-based Out-of-Distribution Detection for Medical Imaging
McKell Woodland, John Wood, Caleb O'Connor, Ankit B. Patel, Kristy K. Brock
Generative Adversarial Network Medical Imaging Distribution Data CT Image Non Contrast

July 6, 2023

Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images
Seher Ozcelik, Sinan Unver, Ilke Ali Gurses, Rustu Turkay, Cigdem Gunduz-Demir
Segmentation Based Approach Segmentation Network CT Image Vessel Segmentation Topology Aware

June 25, 2023

MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng
Sparse View CT Image Computed Tomography Reconstruction ATAC Net Metal Artifact Reduction Equivariant Convolutional Neural Network Dual Domain Reconstruction

May 29, 2023

HGT: A Hierarchical GCN-Based Transformer for Multimodal Periprosthetic Joint Infection Diagnosis Using CT Images and Text
Ruiyang Li, Fujun Yang, Xianjie Liu, Hongwei Shi
Transformer Based Technical Challenge Text Modality CT Image Prosthetic Joint Infection

May 18, 2023

CDIDN: A Registration Model with High Deformation Impedance Capability for Long-Term Tracking of Pulmonary Lesion Dynamics
Xinyu Zhao, Sa Huang, Wei Pang, You Zhou
CT Image Long Term Tracking Large Deformation Registration Model Variable Impedance

May 17, 2023

AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images
Mingyuan Meng, Bingxin Gu, Michael Fulham, Shaoli Song, Dagan Feng, Lei Bi, Jinman Kim
CT Image Survival Prediction Outcome Prediction PET Dog Deep Survival Model

May 11, 2023

Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs
Firas Khader, Gustav Müller-Franzes, Tianyu Han, Sven Nebelung, Christiane Kuhl, Johannes Stegmaier, Daniel Truhn
Transformer Megatron Decepticons Computed Tomography CT Image Computed Tomography Reconstruction Planar N Learned Microenvironment Codebook

May 1, 2023

CNN-based fully automatic mitral valve extraction using CT images and existence probability maps
Yukiteru Masuda, Ryo Ishikawa, Toru Tanaka, Gakuto Aoyama, Keitaro Kawashima, James V. Chapman, Masahiko Asami, Michael Huy Cuong Pham, Klaus Fuglsang Kofoed, Takuya Sakaguchi, Kiyohide Satoh
CT Image Probability MAP Mitral Valve

April 10, 2023

LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model
Muntasir Mamun, Md Ishtyaq Mahmud, Mahabuba Meherin, Ahmed Abdelgawad
Deep Learning State of the Art CT Image Lung Cancer Model Based Deep Learning Lung Cancer Detection

March 31, 2023

Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images
Leonardo Crespi, Mattia Portanti, Daniele Loiacono
Generative Adversarial Network Supervised Learning CT Image Adversarial Text Human Organ GAN Generated Image Risk Segmentation Organ at Risk

February 8, 2023

SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images
Gary Y. Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li
Deep Convolutional Neural Network CT Image Cross Modal Feature PET Dog Novel Segmentation

January 31, 2023

Improved distinct bone segmentation in upper-body CT through multi-resolution networks
Eva Schnider, Julia Wolleb, Antal Huck, Mireille Toranelli, Georg Rauter, Magdalena Müller-Gerbl, Philippe C. Cattin
CT Image Multi Resolution 3D U Net Bone Segmentation

January 27, 2023

Diffusion Denoising for Low-Dose-CT Model
Runyi Li
CT Image Denoising Diffusion Low Dose Low Dose Computed Tomography

January 24, 2023

Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues
Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen
CT Image Anatomical Structure Physiological Change Voxel Level Annotation CT Dataset

December 26, 2022

CT Image

Papers

Automated Identification of Failure Cases in Organ at Risk Segmentation Using Distance Metrics: A Study on CT Data

ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions

Classification of lung cancer subtypes on CT images with synthetic pathological priors

Multi-View Vertebra Localization and Identification from CT Images

StyleGAN2-based Out-of-Distribution Detection for Medical Imaging

Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images

MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images

HGT: A Hierarchical GCN-Based Transformer for Multimodal Periprosthetic Joint Infection Diagnosis Using CT Images and Text

CDIDN: A Registration Model with High Deformation Impedance Capability for Long-Term Tracking of Pulmonary Lesion Dynamics

AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images

Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs

CNN-based fully automatic mitral valve extraction using CT images and existence probability maps

LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model

Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images

SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images

Improved distinct bone segmentation in upper-body CT through multi-resolution networks

Diffusion Denoising for Low-Dose-CT Model

Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues

Orientation-Shared Convolution Representation for CT Metal Artifact Learning

Kidney and Kidney Tumour Segmentation in CT Images