AIMC Topic: Tomography, X-Ray Computed

Clear Filters Showing 4931 to 4940 of 5128 articles

[Automatic segmentation of head and neck organs at risk based on three-dimensional U-NET deep convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
The segmentation of organs at risk is an important part of radiotherapy. The current method of manual segmentation depends on the knowledge and experience of physicians, which is very time-consuming and difficult to ensure the accuracy, consistency a...

[Application of Radiomics in Classification and Prediction of Benign and Malignant Lung Tumors].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Aiming at the lack of quantitative evaluation methods in clinical diagnosis of lung cancer, a classification and prediction model of lung cancer based on Support Vector Machine (SVM) was constructed by using radiomics method. Firstly, the definition ...

Retrospective imaging studies of gastric cancer: Study protocol clinical trial (SPIRIT Compliant).

Medicine
INTRODUCTION: Peritoneal metastasis (PM) is a frequent condition in patients presenting with gastric cancer, especially in younger patients with advanced tumor stages. Computer tomography (CT) is the most common noninvasive modality for preoperative ...

Classification of CT Scan Images of Lungs Using Deep Convolutional Neural Network with External Shape-Based Features.

Journal of digital imaging
In this paper, a simplified yet efficient architecture of a deep convolutional neural network is presented for lung image classification. The images used for classification are computed tomography (CT) scan images obtained from two scientifically use...

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT.

Journal of digital imaging
The volume of pelvic hematoma at CT has been shown to be the strongest independent predictor of major arterial injury requiring angioembolization in trauma victims with pelvic fractures, and also correlates with transfusion requirement and mortality....

Robotic Deep Brain Stimulation (R-DBS)-"Awake" Deep Brain Stimulation Using the Neuromate Robot and O-Arm.

Neurology India
BACKGROUND: Deep brain stimulation (DBS) is an effective surgical technique used to ameliorate the motor symptoms associated with Parkinson's disease. One of the key elements that determine successful patient outcomes is the accurate positioning of t...

[Quantitative Analysis of Emphysema in Ultra-high-resolution CT by Using Deep Learning Reconstruction: Comparison with Hybrid Iterative Reconstruction].

Nihon Hoshasen Gijutsu Gakkai zasshi
PURPOSE: The noise generated in ultra-high-resolution computed tomography (U-HRCT) images affects the quantitative analysis of emphysema. In this study, we compared the physical properties of reconstructed images for hybrid iterative reconstruction (...

[Generation of the Pseudo CT Image Based on the Deep Learning Technique Aimed for the Attenuation Correction of the PET Image].

Nihon Hoshasen Gijutsu Gakkai zasshi
Computed tomography (CT) is used for the attenuation correction (AC) of [F-18] fluoro-deoxy-glucose positron emission tomography (PET) image. However, acquisition of a CT image for this purpose requires increasing the radiation dose of the patient. T...

[Application of Convolutional Neural Network for Evaluating CT Dose Using Image Noise Classification: A Phantom Study].

Nihon Hoshasen Gijutsu Gakkai zasshi
PURPOSE: It is well known that there is a trade-off relationship between image noise and exposure dose in X-ray computed tomography (CT) examination. Therefore, CT dose level was evaluated by using the CT image noise property. Although noise power sp...

[Volume Measurements of Post-transplanted Liver of Pediatric Recipients Using Workstations and Deep Learning].

Nihon Hoshasen Gijutsu Gakkai zasshi
PURPOSE: The purpose of this study was to propose a method for segmentation and volume measurement of graft liver and spleen of pediatric transplant recipients on digital imaging and communications in medicine (DICOM) -format images using U-Net and t...