AIMC Topic: Tomography, X-Ray Computed

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Transformers for colorectal cancer segmentation in CT imaging.

International journal of computer assisted radiology and surgery Jul 4, 2024
PURPOSE: Most recently transformer models became the state of the art in various medical image segmentation tasks and challenges, outperforming most of the conventional deep learning approaches. Picking up on that trend, this study aims at applying v...
Deep Learning Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed Humans Colorectal Neoplasms
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Single-Subject Deep-Learning Image Reconstruction With a Neural Optimization Transfer Algorithm for PET-Enabled Dual-Energy CT Imaging.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 4, 2024
Combining dual-energy computed tomography (DECT) with positron emission tomography (PET) offers many potential clinical applications but typically requires expensive hardware upgrades or increases radiation doses on PET/CT scanners due to an extra X-...
Positron Emission Tomography Computed Tomography Phantoms, Imaging Tomography, X-Ray Computed Humans Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted
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Editorial Comment: Enhancing Radiologist Sensitivity for Incidental Pulmonary Embolism Detection With Artificial Intelligence-A Prospective Validation Study.

AJR. American journal of roentgenology Jul 3, 2024
Artificial Intelligence Prospective Studies Tomography, X-Ray Computed Humans Sensitivity and Specificity Pulmonary Embolism Incidental Findings
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Adrenal Volume Quantitative Visualization Tool by Multiple Parameters and an nnU-Net Deep Learning Automatic Segmentation Model.

Journal of imaging informatics in medicine Jul 2, 2024
Abnormalities in adrenal gland size may be associated with various diseases. Monitoring the volume of adrenal gland can provide a quantitative imaging indicator for such conditions as adrenal hyperplasia, adrenal adenoma, and adrenal cortical adenoca...
Organ Size Adrenal Glands Humans Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Prediction of Anastomotic Leakage in Esophageal Cancer Surgery: A Multimodal Machine Learning Model Integrating Imaging and Clinical Data.

Academic radiology Jul 2, 2024
RATIONALE AND OBJECTIVES: Surgery in combination with chemo/radiotherapy is the standard treatment for locally advanced esophageal cancer. Even after the introduction of minimally invasive techniques, esophagectomy carries significant morbidity and m...
Machine Learning Prospective Studies Tomography, X-Ray Computed Humans Male Middle Aged Esophagectomy Esophageal Neoplasms Female Aged Sensitivity and Specificity Anastomotic Leak
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DeepSAP: A Novel Brain Image-Based Deep Learning Model for Predicting Stroke-Associated Pneumonia From Spontaneous Intracerebral Hemorrhage.

Academic radiology Jul 2, 2024
RATIONALE AND OBJECTIVE: Stroke-associated pneumonia (SAP) often appears as a complication following intracerebral hemorrhage (ICH), leading to poor prognosis and increased mortality rates. Previous studies have typically developed prediction models ...
Stroke Sensitivity and Specificity Tomography, X-Ray Computed Male Humans Female Middle Aged Retrospective Studies Aged Cerebral Hemorrhage Deep Learning Pneumonia Magnetic Resonance Imaging
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Automation of Wilms' tumor segmentation by artificial intelligence.

Cancer imaging : the official publication of the International Cancer Imaging Society Jul 2, 2024
BACKGROUND: 3D reconstruction of Wilms' tumor provides several advantages but are not systematically performed because manual segmentation is extremely time-consuming. The objective of our study was to develop an artificial intelligence tool to autom...
Kidney Neoplasms Wilms Tumor Child Imaging, Three-Dimensional Female Male Humans Child, Preschool Neural Networks, Computer Artificial Intelligence Tomography, X-Ray Computed Automation
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Localized fine-tuning and clinical evaluation of deep-learning based auto-segmentation (DLAS) model for clinical target volume (CTV) and organs-at-risk (OAR) in rectal cancer radiotherapy.

Radiation oncology (London, England) Jul 2, 2024
BACKGROUND AND PURPOSE: Various deep learning auto-segmentation (DLAS) models have been proposed, some of which have been commercialized. However, the issue of performance degradation is notable when pretrained models are deployed in the clinic. This...
Humans Retrospective Studies Tomography, X-Ray Computed Female Organs at Risk Radiotherapy Planning, Computer-Assisted Middle Aged Radiotherapy Dosage Aged Adult Deep Learning Male Rectal Neoplasms Radiotherapy, Intensity-Modulated
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Automated eyeball volume measurement based on CT images using neural network-based segmentation and simple estimation.

Scientific reports Jul 2, 2024
With the increase in the dependency on digital devices, the incidence of myopia, a precursor of various ocular diseases, has risen significantly. Because myopia and eyeball volume are related, myopia progression can be monitored through eyeball volum...
Image Processing, Computer-Assisted Eye Male Middle Aged Myopia Female Young Adult Adult Neural Networks, Computer Tomography, X-Ray Computed Humans
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Artificial Intelligence Application in Skull Bone Fracture with Segmentation Approach.

Journal of imaging informatics in medicine Jul 1, 2024
This study aims to evaluate an AI model designed to automatically classify skull fractures and visualize segmentation on emergent CT scans. The model's goal is to boost diagnostic accuracy, alleviate radiologists' workload, and hasten diagnosis, ther...
Algorithms Tomography, X-Ray Computed Female Humans Artificial Intelligence Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Skull Fractures Aged Adult Sensitivity and Specificity
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