AIMC Topic: Tomography, X-Ray Computed

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[New Method of Paired Comparison for Improved Observer Shortage Using Deep Learning Models].

Nihon Hoshasen Gijutsu Gakkai zasshi May 17, 2024
PURPOSE: The aim of this study was to validate the potential of substituting an observer in a paired comparison with a deep-learning observer.
Technology, Radiologic Tomography, X-Ray Computed Deep Learning Humans Phantoms, Imaging
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Low tube voltage and deep-learning reconstruction for reducing radiation and contrast medium doses in thin-slice abdominal CT: a prospective clinical trial.

European radiology May 16, 2024
OBJECTIVES: To investigate the feasibility of low-radiation dose and low iodinated contrast medium (ICM) dose protocol combining low-tube voltage and deep-learning reconstruction (DLR) algorithm in thin-slice abdominal CT.
Radiography, Abdominal Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Radiation Dosage Aged Aged, 80 and over Adult Deep Learning Contrast Media Male Middle Aged Prospective Studies Tomography, X-Ray Computed Female Humans Algorithms
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Automated Analysis of Split Kidney Function from CT Scans Using Deep Learning and Delta Radiomics.

Journal of endourology May 16, 2024
Differential kidney function assessment is an important part of preoperative evaluation of various urological interventions. It is obtained through dedicated nuclear medical imaging and is not yet implemented through conventional Imaging. We assess...
Tomography, X-Ray Computed Female Aged Radiomics Humans Image Processing, Computer-Assisted Kidney Male Kidney Function Tests Middle Aged Automation Deep Learning
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Automatic segmentation of femoral tumors by nnU-net.

Clinical biomechanics (Bristol, Avon) May 16, 2024
BACKGROUND: Metastatic femoral tumors may lead to pathological fractures during daily activities. A CT-based finite element analysis of a patient's femurs was shown to assist orthopedic surgeons in making informed decisions about the risk of fracture...
Image Processing, Computer-Assisted Femur Finite Element Analysis Femoral Neoplasms Female Male Deep Learning Humans Algorithms Tomography, X-Ray Computed
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A multi-view fusion lightweight network for CRSwNPs prediction on CT images.

BMC medical imaging May 16, 2024
Accurate preoperative differentiation of the chronic rhinosinusitis (CRS) endotype between eosinophilic CRS (eCRS) and non-eosinophilic CRS (non-eCRS) is an important topic in predicting postoperative outcomes and administering personalized treatment...
Tomography, X-Ray Computed Female Adult Deep Learning ROC Curve Male Middle Aged Humans Neural Networks, Computer Chronic Disease Nasal Polyps Sinusitis Rhinitis
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Patient classification and attribute assessment based on machine learning techniques in the qualification process for surgical treatment of adrenal tumours.

Scientific reports May 16, 2024
Adrenal gland incidentaloma is frequently identified through computed tomography and poses a common clinical challenge. Only selected cases require surgical intervention. The primary aim of this study was to compare the effectiveness of selected mach...
Adrenalectomy Tomography, X-Ray Computed Female Aged Middle Aged Machine Learning Adrenal Gland Neoplasms Humans Adult Algorithms Male
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Attention pyramid pooling network for artificial diagnosis on pulmonary nodules.

PloS one May 16, 2024
The development of automated tools using advanced technologies like deep learning holds great promise for improving the accuracy of lung nodule classification in computed tomography (CT) imaging, ultimately reducing lung cancer mortality rates. Howev...
Lung Neoplasms Tomography, X-Ray Computed Multiple Pulmonary Nodules Lung Humans Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Deep Learning Neural Networks, Computer Algorithms
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Value of vendor-agnostic deep learning image denoising in brain computed tomography: A multi-scanner study.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin May 15, 2024
To evaluate the effect of a vendor-agnostic deep learning denoising (DLD) algorithm on diagnostic image quality of non-contrast cranial computed tomography (ncCT) across five CT scanners.This retrospective single-center study included ncCT data of 15...
Artifacts Signal-To-Noise Ratio Aged, 80 and over Young Adult Retrospective Studies Adult Tomography, X-Ray Computed Humans Deep Learning Female Male Algorithms Adolescent Aged Brain Middle Aged
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MRI-only based material mass density and relative stopping power estimation via deep learning for proton therapy: a preliminary study.

Scientific reports May 15, 2024
Magnetic Resonance Imaging (MRI) is increasingly being used in treatment planning due to its superior soft tissue contrast, which is useful for tumor and soft tissue delineation compared to computed tomography (CT). However, MRI cannot directly provi...
Humans Tomography, X-Ray Computed Animals Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Phantoms, Imaging Proton Therapy Swine Deep Learning Magnetic Resonance Imaging
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Quality-driven deep cross-supervised learning network for semi-supervised medical image segmentation.

Computers in biology and medicine May 14, 2024
Semi-supervised medical image segmentation presents a compelling approach to streamline large-scale image analysis, alleviating annotation burdens while maintaining comparable performance. Despite recent strides in cross-supervised training paradigms...
Image Processing, Computer-Assisted Supervised Machine Learning Humans Pancreas Tomography, X-Ray Computed Deep Learning
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