AIMC Topic: Tomography, X-Ray Computed

Clear Filters Showing 3751 to 3760 of 5128 articles

Evolutionary Compression of Deep Neural Networks for Biomedical Image Segmentation.

IEEE transactions on neural networks and learning systems Sep 13, 2019
Biomedical image segmentation is lately dominated by deep neural networks (DNNs) due to their surpassing expert-level performance. However, the existing DNN models for biomedical image segmentation are generally highly parameterized, which severely i...
Neurons Data Compression Retinal Vessels Humans Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted
View on PubMed DOI

Sex estimation from sacrum and coccyx with discriminant analyses and neural networks in an equally distributed population by age and sex.

Forensic science international Sep 12, 2019
Sex estimation is an essential step in the process of the identification of the skeletal remains in forensic anthropology since it reduces the number of possible matches by half. In this study, sex estimation with 21 sacral and coccygeal metric param...
Male Sex Determination by Skeleton Female Humans Middle Aged Aged Sacrum Neural Networks, Computer Discriminant Analysis Young Adult Forensic Anthropology Tomography, X-Ray Computed Adult Turkey Coccyx
View on PubMed DOI

Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice.

Clinical radiology Sep 11, 2019
AIM: To test the diagnostic performance of a deep learning-based system for the detection of clinically significant pulmonary nodules/masses on chest radiographs.
Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Algorithms Retrospective Studies Tomography, X-Ray Computed Female Taiwan Humans Radiographic Image Interpretation, Computer-Assisted Software Quality Improvement Radiography, Thoracic
View on PubMed DOI

Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling.

IEEE transactions on medical imaging Sep 10, 2019
We propose a method for automatic segmentation of individual muscles from a clinical CT. The method uses Bayesian convolutional neural networks with the U-Net architecture, using Monte Carlo dropout that infers an uncertainty metric in addition to th...
Patient-Specific Modeling Male Humans Deep Learning Neural Networks, Computer Thigh Image Processing, Computer-Assisted Tomography, X-Ray Computed Bayes Theorem Muscle, Skeletal Female Arthroplasty, Replacement, Hip Hip
View on PubMed DOI

Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning.

International journal of radiation oncology, biology, physics Sep 7, 2019
PURPOSE: Deep learning methods (DLMs) have recently been proposed to generate pseudo-CT (pCT) for magnetic resonance imaging (MRI) based dose planning. This study aims to evaluate and compare DLMs (U-Net and generative adversarial network [GAN]) usin...
Urinary Bladder Uncertainty Prostate Male Pelvis Reference Values Deep Learning Rectum Magnetic Resonance Imaging Radiotherapy Dosage Femur Head Radiotherapy, Intensity-Modulated Prostatic Neoplasms Humans Bone and Bones Tomography, X-Ray Computed
View on PubMed DOI

Abdominal artery segmentation method from CT volumes using fully convolutional neural network.

International journal of computer assisted radiology and surgery Sep 6, 2019
PURPOSE : The purpose of this paper is to present a fully automated abdominal artery segmentation method from a CT volume. Three-dimensional (3D) blood vessel structure information is important for diagnosis and treatment. Information about blood ves...
Tomography, X-Ray Computed Cone-Beam Computed Tomography Imaging, Three-Dimensional Abdomen Humans Neural Networks, Computer Arteries
View on PubMed DOI

CT Texture Analysis and Machine Learning Improve Post-ablation Prognostication in Patients with Adrenal Metastases: A Proof of Concept.

Cardiovascular and interventional radiology Sep 5, 2019
INTRODUCTION: To assess the performance of pre-ablation computed tomography texture features of adrenal metastases to predict post-treatment local progression and survival in patients who underwent ablation using machine learning as a prediction tool...
Retrospective Studies Tomography, X-Ray Computed Female Male Humans Machine Learning Prognosis ROC Curve Survival Analysis Middle Aged Treatment Outcome Proportional Hazards Models Disease Progression Support Vector Machine Ablation Techniques Pilot Projects Adrenal Gland Neoplasms
View on PubMed DOI

Automatic segmentation of the mandible from computed tomography scans for 3D virtual surgical planning using the convolutional neural network.

Physics in medicine and biology Sep 5, 2019
Segmentation of mandibular bone in CT scans is crucial for 3D virtual surgical planning of craniofacial tumor resection and free flap reconstruction of the resection defect, in order to obtain a detailed surface representation of the bones. A major d...
Neural Networks, Computer Tomography, X-Ray Computed Imaging, Three-Dimensional Mandible Humans
View on PubMed DOI

Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning-assisted nodule segmentation.

European radiology Sep 4, 2019
OBJECTIVE: To investigate the natural history of persistent pulmonary pure ground-glass nodules (pGGNs) with deep learning-assisted nodule segmentation.
Deep Learning Lung Neoplasms Follow-Up Studies Solitary Pulmonary Nodule Risk Factors Humans Male Regression Analysis Algorithms Middle Aged Image Interpretation, Computer-Assisted Lung Retrospective Studies Time Tomography, X-Ray Computed Female
View on PubMed DOI

Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs.

Medical image analysis Sep 4, 2019
Cochlear implants (CIs) are surgically implanted neural prosthetic devices that are used to treat severe-to-profound hearing loss. These devices are programmed post implantation and precise knowledge of the implant position with respect to the intra ...
Cochlea Humans Neural Networks, Computer Imaging, Three-Dimensional Algorithms Tomography, X-Ray Computed Artifacts Metals Cochlear Implants Radiographic Image Enhancement
View on PubMed DOI
Popular Topics
Recent Journals