AIMC Topic: Pelvis

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Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapy.

Journal of applied clinical medical physics May 12, 2023
Deep learning (DL) models for radiation therapy (RT) image segmentation require accurately annotated training data. Multiple organ delineation guidelines exist; however, information on the used guideline is not provided with the delineation. Extracti...
Pelvis Organs at Risk Urinary Bladder Pelvic Neoplasms Male Deep Learning Image Processing, Computer-Assisted Humans
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Comprehensive dose evaluation of a Deep Learning based synthetic Computed Tomography algorithm for pelvic Magnetic Resonance-only radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology May 6, 2023
BACKGROUND AND PURPOSE: Magnetic Resonance (MR)-only radiotherapy enables the use of MR without the uncertainty of MR-Computed Tomography (CT) registration. This requires a synthetic CT (sCT) for dose calculations, which can be facilitated by a novel...
Male Deep Learning Magnetic Resonance Imaging Algorithms Tomography, X-Ray Computed Radiotherapy Dosage Radiotherapy, Intensity-Modulated Magnetic Resonance Spectroscopy Pelvis Radiotherapy Planning, Computer-Assisted Humans Prostatic Neoplasms
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The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods.

Joint diseases and related surgery Apr 26, 2023
OBJECTIVES: The aim of this study was to evaluate diagnostic ability of deep learning models, particularly convolutional neural network models used for image classification, for femoroacetabular impingement (FAI) using hip radiographs.
Humans Retrospective Studies Deep Learning Radiography Pelvis Adult Male Female Femoracetabular Impingement
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Robotic resection of a lipoma in the deep lesser pelvis - a video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland Mar 27, 2023
Lipoma Lesser Pelvis Robotic Surgical Procedures Humans Pelvis Robotics Rectal Neoplasms
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Leg-Length Discrepancy Variability on Standard Anteroposterior Pelvis Radiographs: An Analysis Using Deep Learning Measurements.

The Journal of arthroplasty Mar 9, 2023
BACKGROUND: Leg-length discrepancy (LLD) is a critical factor in component selection and placement for total hip arthroplasty. However, LLD radiographic measurements are subject to variation based on the femoral/pelvic landmarks chosen. This study le...
Reproducibility of Results Deep Learning Humans Arthroplasty, Replacement, Hip Leg Radiography Leg Length Inequality Pelvis
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Artificial Intelligence Autonomously Measures Cup Orientation, Corrects for Pelvis Orientation, and Identifies Retroversion From Antero-Posterior Pelvis Radiographs.

The Journal of arthroplasty Mar 8, 2023
BACKGROUND: Measuring cup orientation is time consuming and inaccurate, but orientation influences the risk of impingement and dislocation following total hip arthroplasty (THA). This study designed an artificial intelligence (AI) program to autonomo...
Artificial Intelligence Pelvis Humans Hip Prosthesis Arthroplasty, Replacement, Hip
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Deep learning reconstruction with single-energy metal artifact reduction in pelvic computed tomography for patients with metal hip prostheses.

Japanese journal of radiology Mar 2, 2023
PURPOSE: The aim of this study was to assess the impact of the deep learning reconstruction (DLR) with single-energy metal artifact reduction (SEMAR) (DLR-S) technique in pelvic helical computed tomography (CT) images for patients with metal hip pros...
Hip Prosthesis Pelvis Artifacts Aged, 80 and over Male Deep Learning Metals Middle Aged Tomography, X-Ray Computed Algorithms Female Humans Aged Retrospective Studies
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Effects of Timed Frontal Plane Pelvic Moments During Overground Walking With a Mobile TPAD System.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 30, 2023
Robotic gait training may improve overground ambulation for individuals with poor control over pelvic motion. However, there is a need for an overground gait training robotic device that allows full control of pelvic movement and synchronizes applied...
Humans Adult Biomechanical Phenomena Pelvis Walking Muscle, Skeletal Gait Robotics
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Evaluation of generalization ability for deep learning-based auto-segmentation accuracy in limited field of view CBCT of male pelvic region.

Journal of applied clinical medical physics Jan 19, 2023
PURPOSE: The aim of this study was to evaluate generalization ability of segmentation accuracy for limited FOV CBCT in the male pelvic region using a full-image CNN. Auto-segmentation accuracy was evaluated using various datasets with different inten...
Radiotherapy Planning, Computer-Assisted Spiral Cone-Beam Computed Tomography Humans Image Processing, Computer-Assisted Deep Learning Male Pelvis
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Original research: utilization of a convolutional neural network for automated detection of lytic spinal lesions on body CTs.

Skeletal radiology Jan 18, 2023
OBJECTIVE: To develop, train, and test a convolutional neural network (CNN) for detection of spinal lytic lesions in chest, abdomen, and pelvis CT scans.
Pelvis Bone and Bones Neural Networks, Computer Humans Tomography, X-Ray Computed
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