AIMC Topic: Tomography, X-Ray Computed

Clear Filters Showing 381 to 390 of 4963 articles

Incorporating indirect MRI information in a CT-based deep learning model for prostate auto-segmentation.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Feb 21, 2025
BACKGROUND AND PURPOSE: Computed tomography (CT) imaging poses challenges for delineation of soft tissue structures for prostate cancer external beam radiotherapy. Guidelines require the input of magnetic resonance imaging (MRI) information. We devel...
Prostatic Neoplasms Prostate Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Male Deep Learning Magnetic Resonance Imaging Humans
View on PubMed DOI

Automatic skull reconstruction by deep learnable symmetry enforcement.

Computer methods and programs in biomedicine Feb 20, 2025
BACKGROUND AND OBJECTIVE: Every year, thousands of people suffer from skull damage and require personalized implants to fill the cranial cavity. Unfortunately, the waiting time for reconstruction surgery can extend to several weeks or even months, es...
Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Plastic Surgery Procedures Skull
View on PubMed DOI

Automated segmentation by SCA-UNet can be directly used for radiomics diagnosis of thymic epithelial tumors.

European journal of radiology Feb 20, 2025
BACKGROUND: Automatic segmentation of thymic lesions in preoperative computed tomography (CT) images is crucial for accurate diagnosis but remains time-consuming. Although UNet is widely used in medical imaging, its performance is limited by the inhe...
Thymus Neoplasms Radiomics Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Neoplasms, Glandular and Epithelial Deep Learning China Female Aged Adult Humans Neural Networks, Computer Tomography, X-Ray Computed
View on PubMed DOI

Radiomics and Deep Learning Prediction of Immunotherapy-Induced Pneumonitis From Computed Tomography.

JCO clinical cancer informatics Feb 20, 2025
PURPOSE: Primary barriers to application of immune checkpoint inhibitor (ICI) therapy for cancer include severe side effects (such as potentially life threatening pneumonitis [PN]), which can cause the discontinuation of treatment. Predicting which p...
Radiomics Male Middle Aged Immune Checkpoint Inhibitors Immunotherapy Neoplasms Deep Learning Humans Tomography, X-Ray Computed Female Aged Pneumonia
View on PubMed DOI

CT-Based Machine Learning Radiomics Analysis to Diagnose Dysthyroid Optic Neuropathy.

Seminars in ophthalmology Feb 19, 2025
PURPOSE: To develop CT-based machine learning radiomics models used for the diagnosis of dysthyroid optic neuropathy (DON).
Middle Aged ROC Curve Optic Nerve Diseases Retrospective Studies Tomography, X-Ray Computed Female Radiomics Male Aged Adult Humans Machine Learning Graves Ophthalmopathy
View on PubMed DOI

Diagnosis of Acute Appendicitis with Machine Learning-Based Computer Tomography: Diagnostic Reliability and Role in Clinical Management.

Journal of laparoendoscopic & advanced surgical techniques. Part A Feb 19, 2025
Acute appendicitis (AA) is a common surgical emergency affecting 7-8% of the population. Timely diagnosis and treatment are crucial for preventing serious morbidity and mortality. Diagnosis typically involves physical examination, laboratory tests, ...
Reproducibility of Results Young Adult Adult Male Retrospective Studies Tomography, X-Ray Computed Female Acute Disease Appendicitis Middle Aged Adolescent Child Humans Machine Learning
View on PubMed DOI

Automated identification of incidental hepatic steatosis on Emergency Department imaging using large language models.

Hepatology communications Feb 19, 2025
BACKGROUND: Hepatic steatosis is a precursor to more severe liver disease, increasing morbidity and mortality risks. In the Emergency Department, routine abdominal imaging often reveals incidental hepatic steatosis that goes undiagnosed due to the ac...
Fatty Liver Natural Language Processing Emergency Service, Hospital Large Language Models Incidental Findings Sensitivity and Specificity Male Middle Aged Reproducibility of Results Aged Adult Electronic Health Records Female Humans Tomography, X-Ray Computed
View on PubMed DOI

Moving Beyond CT Body Composition Analysis: Using Style Transfer for Bringing CT-Based Fully-Automated Body Composition Analysis to T2-Weighted MRI Sequences.

Investigative radiology Feb 18, 2025
OBJECTIVES: Deep learning for body composition analysis (BCA) is gaining traction in clinical research, offering rapid and automated ways to measure body features like muscle or fat volume. However, most current methods prioritize computed tomography...
Humans Tomography, X-Ray Computed Female Aged Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Body Composition Adult Male Middle Aged
View on PubMed DOI

A deep learning detection method for pancreatic cystic neoplasm based on Mamba architecture.

Journal of X-ray science and technology Feb 18, 2025
OBJECTIVE: Early diagnosis of pancreatic cystic neoplasm (PCN) is crucial for patient survival. This study proposes M-YOLO, a novel model combining Mamba architecture and YOLO, to enhance the detection of pancreatic cystic tumors. The model addresses...
Pancreatic Neoplasms Image Interpretation, Computer-Assisted Pancreatic Cyst Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted Humans Algorithms
View on PubMed DOI

Accuracy of artificial intelligence in detecting tumor bone metastases: a systematic review and meta-analysis.

BMC cancer Feb 18, 2025
BACKGROUND: Bone metastases (BM) represent a prevalent complication of tumors. Early and accurate diagnosis, however, is a significant hurdle for radiologists. Recently, artificial intelligence (AI) has emerged as a valuable tool to assist radiologis...
Humans Artificial Intelligence Bone Neoplasms Tomography, X-Ray Computed Sensitivity and Specificity Magnetic Resonance Imaging
View on PubMed DOI
Popular Topics
Recent Journals