AIMC Topic: Tomography, X-Ray Computed

Clear Filters Showing 1141 to 1150 of 4963 articles

Pre-operative lung ablation prediction using deep learning.

European radiology May 22, 2024
OBJECTIVE: Microwave lung ablation (MWA) is a minimally invasive and inexpensive alternative cancer treatment for patients who are not candidates for surgery/radiotherapy. However, a major challenge for MWA is its relatively high tumor recurrence rat...
Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Deep Learning Lung Neoplasms Microwaves Ablation Techniques Male Middle Aged Lung
View on PubMed DOI

Deep-learning denoising minimizes radiation exposure in neck CT beyond the limits of conventional reconstruction.

European journal of radiology May 22, 2024
BACKGROUND: Neck computed tomography (NCT) is essential for diagnosing suspected neck tumors and abscesses, but radiation exposure can be an issue. In conventional reconstruction techniques, limiting radiation dose comes at the cost of diminished dia...
Signal-To-Noise Ratio Radiation Exposure Male Middle Aged Deep Learning Humans Radiographic Image Interpretation, Computer-Assisted Female Retrospective Studies Head and Neck Neoplasms Radiation Dosage Neck Tomography, X-Ray Computed Aged Adult
View on PubMed DOI

Improved brain metastases segmentation using generative adversarial network and conditional random field optimization mask R-CNN.

Medical physics May 22, 2024
BACKGROUND: In radiotherapy, the delineation of the gross tumor volume (GTV) in brain metastases using computed tomography (CT) simulation localization is very important. However, despite the criticality of this process, a pronounced gap exists in th...
Brain Neoplasms Image Processing, Computer-Assisted Tumor Burden Humans Neural Networks, Computer Tomography, X-Ray Computed
View on PubMed DOI

CMAN: Cascaded Multi-scale Spatial Channel Attention-guided Network for large 3D deformable registration of liver CT images.

Medical image analysis May 22, 2024
Deformable image registration is an essential component of medical image analysis and plays an irreplaceable role in clinical practice. In recent years, deep learning-based registration methods have demonstrated significant improvements in convenienc...
Imaging, Three-Dimensional Liver Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer
View on PubMed DOI

Machine learning models for predicting early hemorrhage progression in traumatic brain injury.

Scientific reports May 22, 2024
This study explores the progression of intracerebral hemorrhage (ICH) in patients with mild to moderate traumatic brain injury (TBI). It aims to predict the risk of ICH progression using initial CT scans and identify clinical factors associated with ...
Brain Injuries, Traumatic Female Cerebral Hemorrhage Aged Adult Risk Assessment Humans Disease Progression Machine Learning Retrospective Studies Male Tomography, X-Ray Computed Middle Aged
View on PubMed DOI

Development and validation of a reliable method for automated measurements of psoas muscle volume in CT scans using deep learning-based segmentation: a cross-sectional study.

BMJ open May 22, 2024
OBJECTIVES: We aimed to develop an automated method for measuring the volume of the psoas muscle using CT to aid sarcopenia research efficiently.
Organ Size Psoas Muscles Aged Adult Cross-Sectional Studies Deep Learning Sarcopenia Male Middle Aged Tomography, X-Ray Computed Female Reproducibility of Results Humans
View on PubMed DOI

A novel machine learning model for efficacy prediction of immunotherapy-chemotherapy in NSCLC based on CT radiomics.

Computers in biology and medicine May 21, 2024
Lung cancer is categorized into two main types: non-small cell lung cancer (NSCLC) and small cell lung cancer. Of these, NSCLC accounts for approximately 85% of all cases and encompasses varieties such as squamous cell carcinoma and adenocarcinoma. F...
Carcinoma, Non-Small-Cell Lung Machine Learning Retrospective Studies Tomography, X-Ray Computed Middle Aged Aged Immunotherapy Female Humans Radiomics Lung Neoplasms Support Vector Machine Male
View on PubMed DOI

Automated segmentation of liver and hepatic vessels on portal venous phase computed tomography images using a deep learning algorithm.

Journal of applied clinical medical physics May 21, 2024
BACKGROUND: CT-image segmentation for liver and hepatic vessels can facilitate liver surgical planning. However, time-consuming process and inter-observer variations of manual segmentation have limited wider application in clinical practice.
Algorithms Hepatic Veins Prognosis Male Retrospective Studies Liver Liver Neoplasms Middle Aged Aged Portal Vein Tomography, X-Ray Computed Image Processing, Computer-Assisted Deep Learning Adult Humans Female
View on PubMed DOI

ResTransUnet: An effective network combined with Transformer and U-Net for liver segmentation in CT scans.

Computers in biology and medicine May 21, 2024
Liver segmentation is a fundamental prerequisite for the diagnosis and surgical planning of hepatocellular carcinoma. Traditionally, the liver contour is drawn manually by radiologists using a slice-by-slice method. However, this process is time-cons...
Algorithms Tomography, X-Ray Computed Humans Neural Networks, Computer Liver Neoplasms Carcinoma, Hepatocellular Liver
View on PubMed DOI

HCA-DAN: hierarchical class-aware domain adaptive network for gastric tumor segmentation in 3D CT images.

Cancer imaging : the official publication of the International Cancer Imaging Society May 21, 2024
BACKGROUND: Accurate segmentation of gastric tumors from CT scans provides useful image information for guiding the diagnosis and treatment of gastric cancer. However, automated gastric tumor segmentation from 3D CT images faces several challenges. T...
Humans Neural Networks, Computer Deep Learning Imaging, Three-Dimensional Tomography, X-Ray Computed Stomach Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals