AIMC Topic: Tomography, X-Ray Computed

Clear Filters Showing 21 to 30 of 4877 articles

A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation.

BMC medical imaging Aug 4, 2025
Accurately segmenting the pancreas from abdominal computed tomography (CT) images is crucial for detecting and managing pancreatic diseases, such as diabetes and tumors. Type 2 diabetes and metabolic syndrome are associated with pancreatic fat accumu...
Humans Neural Networks, Computer Tomography, X-Ray Computed Adipose Tissue Pancreas
View on PubMed DOI

Early prediction of proton therapy dose distributions and DVHs for hepatocellular carcinoma using contour-based CNN models from diagnostic CT and MRI.

Radiation oncology (London, England) Aug 4, 2025
BACKGROUND: Proton therapy is commonly used for treating hepatocellular carcinoma (HCC); however, its feasibility can be challenging to assess in large tumors or those adjacent to critical organs at risk (OARs), which are typically assessed only afte...
Male Middle Aged Liver Neoplasms Tomography, X-Ray Computed Female Aged Radiotherapy Planning, Computer-Assisted Carcinoma, Hepatocellular Humans Radiotherapy Dosage Magnetic Resonance Imaging Neural Networks, Computer Radiotherapy, Intensity-Modulated Organs at Risk Proton Therapy
View on PubMed DOI

Adapting foundation models for rapid clinical response: intracerebral hemorrhage segmentation in emergency settings.

Scientific reports Aug 3, 2025
Intracerebral hemorrhage (ICH) is a medical emergency that demands rapid and accurate diagnosis for optimal patient management. Hemorrhagic lesions' segmentation on CT scans is a necessary first step for acquiring quantitative imaging data that are b...
Deep Learning Image Processing, Computer-Assisted Cerebral Hemorrhage Humans Algorithms Tomography, X-Ray Computed
View on PubMed DOI

Transfer learning based deep architecture for lung cancer classification using CT image with pattern and entropy based feature set.

Scientific reports Aug 2, 2025
Early detection of lung cancer, which remains one of the leading causes of death worldwide, is important for improved prognosis, and CT scanning is an important diagnostic modality. Lung cancer classification according to CT scan is challenging since...
Image Processing, Computer-Assisted Lung Neoplasms Entropy Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Deep Learning
View on PubMed DOI

The dosimetric impacts of ct-based deep learning autocontouring algorithm for prostate cancer radiotherapy planning dosimetric accuracy of DirectORGANS.

BMC urology Aug 2, 2025
PURPOSE: In study, we aimed to dosimetrically evaluate the usability of a new generation autocontouring algorithm (DirectORGANS) that automatically identifies organs and contours them directly in the computed tomography (CT) simulator before creating...
Humans Algorithms Tomography, X-Ray Computed Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiometry Male Deep Learning Prostatic Neoplasms
View on PubMed DOI

Advanced multi-label brain hemorrhage segmentation using an attention-based residual U-Net model.

BMC medical informatics and decision making Jul 31, 2025
OBJECTIVE: This study aimed to develop and assess an advanced Attention-Based Residual U-Net (ResUNet) model for accurately segmenting different types of brain hemorrhages from CT images. The goal was to overcome the limitations of manual segmentatio...
Humans Intracranial Hemorrhages Female Male Middle Aged Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed
View on PubMed DOI

Impact of large language models and vision deep learning models in predicting neoadjuvant rectal score for rectal cancer treated with neoadjuvant chemoradiation.

BMC medical imaging Jul 31, 2025
This study aims to explore Deep Learning methods, namely Large Language Models (LLMs) and Computer Vision models to accurately predict neoadjuvant rectal (NAR) score for locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiation (N...
Large Language Models Magnetic Resonance Imaging Rectal Neoplasms Chemoradiotherapy Middle Aged Humans Deep Learning Tomography, X-Ray Computed Neoadjuvant Therapy Aged Male Language Female
View on PubMed DOI

A deep learning model for predicting radiation-induced xerostomia in patients with head and neck cancer based on multi-channel fusion.

BMC medical imaging Jul 30, 2025
OBJECTIVES: Radiation-induced xerostomia is a common sequela in patients who undergo head and neck radiation therapy. This study aims to develop a three-dimensional deep learning model to predict xerostomia by fusing data from the gross tumor volume ...
Male Radiation Injuries Female Head and Neck Neoplasms Xerostomia Middle Aged Humans Aged Retrospective Studies Deep Learning Tomography, X-Ray Computed Adult Bayes Theorem Parotid Gland
View on PubMed DOI

WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules.

Scientific reports Jul 30, 2025
Accurate differential diagnosis of pneumonia remains a challenging task, as different types of pneumonia require distinct treatment strategies. Early and precise diagnosis is crucial for minimizing the risk of misdiagnosis and for effectively guiding...
Neural Networks, Computer Pneumonia Diagnosis, Computer-Assisted Algorithms Radiographic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Humans Tomography, X-Ray Computed Diagnosis, Differential
View on PubMed DOI

AI search, physician removal: Bronchoscopy robot bridges collaboration in foreign body aspiration.

Science robotics Jul 30, 2025
Bronchial foreign body aspiration is a life-threatening condition with a high incidence across diverse populations, requiring urgent diagnosis and treatment. However, the limited availability of skilled practitioners and advanced medical equipment in...
Equipment Design Robotic Surgical Procedures Bronchi Respiratory Aspiration Bronchoscopes Foreign Bodies Tomography, X-Ray Computed Humans Animals Artificial Intelligence Bronchoscopy Machine Learning Algorithms Physicians
View on PubMed DOI
Popular Topics
Recent Journals