AIMC Topic: Tomography, X-Ray Computed

Clear Filters Showing 101 to 110 of 4956 articles

Synergizing advanced algorithm of explainable artificial intelligence with hybrid model for enhanced brain tumor detection in healthcare.

Scientific reports Jul 1, 2025
Brain tumor causes life-threatening consequences due to which its timely detection and accurate classification are critical for determining appropriate treatment plans while focusing on the improved patient outcomes. However, conventional approaches ...
Algorithms Tomography, X-Ray Computed Brain Neoplasms Deep Learning Magnetic Resonance Imaging Humans Artificial Intelligence Machine Learning
View on PubMed DOI

Auto-Segmentation via deep-learning approaches for the assessment of flap volume after reconstructive surgery or radiotherapy in head and neck cancer.

Scientific reports Jul 1, 2025
Reconstructive flap surgery aims to restore the substance and function losses associated with tumor resection. Automatic flap segmentation could allow quantification of flap volume and correlations with functional outcomes after surgery or post-opera...
Humans Tomography, X-Ray Computed Plastic Surgery Procedures Surgical Flaps Male Female Deep Learning Middle Aged Aged Head and Neck Neoplasms Adult
View on PubMed DOI

Automated classification of chondroid tumor using 3D U-Net and radiomics with deep features.

Scientific reports Jul 1, 2025
Classifying chondroid tumors is an essential step for effective treatment planning. Recently, with the advances in computer-aided diagnosis and the increasing availability of medical imaging data, automated tumor classification using deep learning sh...
Chondroma Deep Learning Imaging, Three-Dimensional Bone Neoplasms Radiomics Humans Male Female Middle Aged Adult Machine Learning Tomography, X-Ray Computed
View on PubMed DOI

Multi-modal and Multi-view Cervical Spondylosis Imaging Dataset.

Scientific data Jul 1, 2025
Multi-modal and multi-view imaging is essential for diagnosis and assessment of cervical spondylosis. Deep learning has increasingly been developed to assist in diagnosis and assessment, which can help improve clinical management and provide new idea...
Neck Pain Humans Tomography, X-Ray Computed Cervical Vertebrae Spondylosis Deep Learning Magnetic Resonance Imaging
View on PubMed DOI

Artificial Intelligence Iterative Reconstruction for Dose Reduction in Pediatric Chest CT: A Clinical Assessment via Below 3 Years Patients With Congenital Heart Disease.

Journal of thoracic imaging Jul 1, 2025
PURPOSE: To assess the performance of a newly introduced deep learning-based reconstruction algorithm, namely the artificial intelligence iterative reconstruction (AIIR), in reducing the dose of pediatric chest CT by using the image data of below 3-y...
Radiation Dosage Humans Radiography, Thoracic Artificial Intelligence Infant Prospective Studies Lung Tomography, X-Ray Computed Heart Defects, Congenital Child, Preschool Female Radiographic Image Interpretation, Computer-Assisted Male
View on PubMed DOI

The diagnostic model from semi-supervised cross modality transformation improved the distinguished ability of X-rays for pulmonary tuberculosis.

Clinical radiology Jun 27, 2025
BACKGROUND: Early diagnosis of tuberculosis is particularly difficult in resource-poor areas. Traditional chest X-rays (CXR) have limited accuracy, while CT scans are costly and involve radiation exposure. The study aims to improve the diagnostic acc...
Tomography, X-Ray Computed Female Adult Humans Artificial Intelligence Lung Deep Learning Radiographic Image Interpretation, Computer-Assisted Tuberculosis, Pulmonary Sensitivity and Specificity Male Middle Aged Radiography, Thoracic
View on PubMed DOI

Pulmonary hypertension: diagnostic aspects-what is the role of imaging?

Current opinion in cardiology Jun 27, 2025
PURPOSE OF REVIEW: The role of imaging in diagnosis of pulmonary hypertension is multifaceted, spanning from estimation of pulmonary arterial pressures, understanding pulmonary artery-right ventricular interaction, and identification of the cause. Th...
Tomography, X-Ray Computed Multimodal Imaging Humans Hypertension, Pulmonary Artificial Intelligence
View on PubMed DOI

D-RD-UNet: A dual-stage dual-class framework with connectivity correction for hepatic vessels segmentation.

Computers in biology and medicine Jun 27, 2025
Accurate segmentation of hepatic and portal veins is critical for preoperative planning in liver surgery, especially for resection and transplantation procedures. Extensive anatomical variability, pathological alterations, and inherent class imbalanc...
Humans Algorithms Image Processing, Computer-Assisted Liver Portal Vein Hepatic Veins Tomography, X-Ray Computed Deep Learning Imaging, Three-Dimensional
View on PubMed DOI

Radiomic 'Stress Test': exploration of a deep learning radiomic model in a high-risk prospective lung nodule cohort.

BMJ open respiratory research Jun 27, 2025
BACKGROUND: Indeterminate pulmonary nodules (IPNs) are commonly biopsied to ascertain a diagnosis of lung cancer, but many are ultimately benign. The Lung Cancer Prediction (LCP) score is a commercially available deep learning radiomic model with str...
Multiple Pulmonary Nodules Solitary Pulmonary Nodule Tomography, X-Ray Computed Radiomics Biopsy ROC Curve Male Female Humans Lung Neoplasms Middle Aged Risk Assessment Aged Prospective Studies Deep Learning Retrospective Studies
View on PubMed DOI

Predicting brain metastases in EGFR-positive lung adenocarcinoma patients using pre-treatment CT lung imaging data.

European journal of radiology Jun 26, 2025
OBJECTIVES: This study aims to establish a dual-feature fusion model integrating radiomic features with deep learning features, utilizing single-modality pre-treatment lung CT image data to achieve early warning of brain metastasis (BM) risk within 2...
ErbB Receptors Adenocarcinoma of Lung Deep Learning Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Humans Tomography, X-Ray Computed Female Male Middle Aged Aged Brain Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals