AIMC Topic: Tomography, X-Ray Computed

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The effect of the re-segmentation method on improving the performance of rectal cancer image segmentation models.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Rapid and accurate segmentation of tumor regions from rectal cancer images can better understand the patientâs lesions and surrounding tissues, providing more effective auxiliary diagnostic information. However, cutting rectal tumors with...
Image Processing, Computer-Assisted Tomography, X-Ray Computed Rectal Neoplasms Deep Learning Humans Neural Networks, Computer
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Enhanced CT imaging artificial neural network coronary artery calcification score assisted diagnosis.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The study of coronary artery calcification (CAC) may assist in identifying additional coronary artery problem protective factors. On the contrary side, due to the wide variety of CAC as individuals, CAC research is difficult. Due to this,...
Female Vascular Calcification Reproducibility of Results Neural Networks, Computer Middle Aged Male Machine Learning Humans Coronary Artery Disease Algorithms Tomography, X-Ray Computed
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Evaluation of Interstitial Lung Diseases with Deep Learning Method of Two Major Computed Tomography Patterns.

Current medical imaging Jan 1, 2024
BACKGROUND: Interstitial lung diseases (ILD) encompass various disorders characterized by inflammation and/or fibrosis in the lung interstitium. These conditions produce distinct patterns in High-Resolution Computed Tomography (HRCT).
Humans Deep Learning Tomography, X-Ray Computed Lung Diseases, Interstitial Male Middle Aged Female Lung Aged
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Performance evaluation of deep learning image reconstruction algorithm for dual-energy spectral CT imaging: A phantom study.

Journal of X-ray science and technology Jan 1, 2024
OBJECTIVES: To evaluate the performance of deep learning image reconstruction (DLIR) algorithm in dual-energy spectral CT (DEsCT) as a function of radiation dose and image energy level, in comparison with filtered-back-projection (FBP) and adaptive s...
Algorithms Tomography, X-Ray Computed Humans Radiography, Dual-Energy Scanned Projection Deep Learning Radiation Dosage Signal-To-Noise Ratio Image Processing, Computer-Assisted Phantoms, Imaging
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Machine learning framework for simulation of artifacts in paranasal sinuses diagnosis using CT images.

Journal of X-ray science and technology Jan 1, 2024
In the medical field, diagnostic tools that make use of deep neural networks have reached a level of performance never before seen. A proper diagnosis of a patient's condition is crucial in modern medicine since it determines whether or not the patie...
Artifacts Paranasal Sinus Diseases Image Processing, Computer-Assisted Paranasal Sinuses Humans Algorithms Tomography, X-Ray Computed Machine Learning
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An Evaluation Analysis for Computed Tomography Image Quality of Primary Liver Cancer Lesions Based on Deep Learning Image Reconstruction.

Current medical imaging Jan 1, 2024
BACKGROUND: Abdominal multi-slice helical computed tomography (CT) and contrast-enhanced scanning have been widely recognized clinically.
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Tomography, X-Ray Computed Liver Neoplasms Image Processing, Computer-Assisted Deep Learning
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Chest CT Image based Lung Disease Classification - A Review.

Current medical imaging Jan 1, 2024
Computed tomography (CT) scans are widely used to diagnose lung conditions due to their ability to provide a detailed overview of the body's respiratory system. Despite its popularity, visual examination of CT scan images can lead to misinterpretatio...
Humans Machine Learning Tomography, X-Ray Computed Lung Neoplasms Lung Diseases Lung Deep Learning
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Severity-stratification of interstitial lung disease by deep learning enabled assessment and quantification of lesion indicators from HRCT images.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Interstitial lung disease (ILD) represents a group of chronic heterogeneous diseases, and current clinical practice in assessment of ILD severity and progression mainly rely on the radiologist-based visual screening, which greatly restric...
Humans Lung Deep Learning Lung Diseases, Interstitial Retrospective Studies Tomography, X-Ray Computed
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Examination-Level Supervision for Deep Learning-based Intracranial Hemorrhage Detection on Head CT Scans.

Radiology. Artificial intelligence Jan 1, 2024
Purpose To compare the effectiveness of weak supervision (ie, with examination-level labels only) and strong supervision (ie, with image-level labels) in training deep learning models for detection of intracranial hemorrhage (ICH) on head CT scans. M...
Intracranial Hemorrhages Humans Prospective Studies Tomography, X-Ray Computed Retrospective Studies Deep Learning
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A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture.

Radiology Jan 1, 2024
Background Patients have the highest risk of subsequent fractures in the first few years after an initial fracture, yet models to predict short-term subsequent risk have not been developed. Purpose To develop and validate a deep learning prediction m...
Retrospective Studies Tomography, X-Ray Computed Deep Learning Humans Area Under Curve Aged Female Hip Fractures Adult
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