AIMC Topic: Pelvis

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Utility of a novel integrated deep convolutional neural network for the segmentation of hip joint from computed tomography images in the preoperative planning of total hip arthroplasty.

Journal of orthopaedic surgery and research Mar 15, 2022
PURPOSE: Preoperative three-dimensional planning is important for total hip arthroplasty. To simulate the placement of joint implants on computed tomography (CT), pelvis and femur must be segmented. Accurate and rapid segmentation of the hip joint is...
Preoperative Period Hip Joint Arthroplasty, Replacement, Hip Aged Aged, 80 and over Middle Aged Pelvis Male Humans Tomography, X-Ray Computed Female Neural Networks, Computer
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Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 12, 2022
PURPOSE: To summarize and critically evaluate the existing studies for spinopelvic measurements of sagittal balance that are based on deep learning (DL).
Humans Cross-Sectional Studies Pelvis Deep Learning Lumbar Vertebrae Radiography Lumbosacral Region
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General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis.

Medical physics Feb 7, 2022
PURPOSE: To reduce workload and inconsistencies in organ segmentation for radiation treatment planning, we developed and evaluated general and custom autosegmentation models on computed tomography (CT) for three major tumor sites using a well-establi...
Humans Male Deep Learning Head and Neck Neoplasms Pelvis Organs at Risk Image Processing, Computer-Assisted Abdomen Radiotherapy Planning, Computer-Assisted
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Better Image Quality for Diffusion-weighted MRI of the Prostate Using Deep Learning.

Radiology Feb 1, 2022
Pelvis Diffusion Magnetic Resonance Imaging Humans Deep Learning Prostate Male
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Quantification of uptake in pelvis F-18 FLT PET-CT images using a 3D localization and segmentation CNN.

Medical physics Jan 19, 2022
PURPOSE: The purpose of this work was to develop and validate a deep convolutional neural network (CNN) approach for the automated pelvis segmentation in computed tomography (CT) scans to enable the quantification of active pelvic bone marrow by mean...
Dideoxynucleosides Positron Emission Tomography Computed Tomography Pelvis Radiopharmaceuticals Neural Networks, Computer Image Processing, Computer-Assisted
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Forensic bone age estimation of adolescent pelvis X-rays based on two-stage convolutional neural network.

International journal of legal medicine Jan 18, 2022
In the forensic estimation of bone age, the pelvis is important for identifying the bone age of teenagers. However, studies on this topic remain insufficient as a result of lower accuracy due to the overlapping of pelvic organs in X-ray images. Segme...
Image Processing, Computer-Assisted Pelvis X-Rays Adolescent Child Retrospective Studies Young Adult Adult Humans Neural Networks, Computer
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Impact of Deep Learning Reconstruction Combined With a Sharpening Filter on Single-Shot Fast Spin-Echo T2-Weighted Magnetic Resonance Imaging of the Uterus.

Investigative radiology Jan 10, 2022
OBJECTIVE: This study aimed to evaluate the effects of deep learning (DL) reconstruction and a postprocessing sharpening filter on the image quality of single-shot fast spin-echo (SSFSE) T2-weighted imaging (T2WI) of the uterus.
Deep Learning Magnetic Resonance Imaging Pelvis Artifacts Uterus Humans Female
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Combined model-based and deep learning-based automated 3D zonal segmentation of the prostate on T2-weighted MR images: clinical evaluation.

European radiology Jan 10, 2022
OBJECTIVE: To train and to test for prostate zonal segmentation an existing algorithm already trained for whole-gland segmentation.
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Pelvis Male Magnetic Resonance Imaging Prostate
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Factors Affecting Transperitoneal Robot-Assisted Laparoscopic Radical Prostatectomy.

Journal of laparoendoscopic & advanced surgical techniques. Part A Dec 28, 2021
To evaluate the impact of body mass index (BMI), preoperative risk classification, previous inguinal herniotomy, and abdominal operations on several steps of robot-assisted radical prostatectomy (RARP) and lymph node (LN) involvement. A total numbe...
Robotic Surgical Procedures Humans Pelvis Retrospective Studies Lymphatic Metastasis Male Prostatectomy Lymph Node Excision Robotics Laparoscopy
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Using Machine Learning to Identify Intravenous Contrast Phases on Computed Tomography.

Computer methods and programs in biomedicine Dec 25, 2021
PURPOSE: The purpose of the present work is to demonstrate the application of machine learning (ML) techniques to automatically identify the presence and physiologic phase of intravenous (IV) contrast in Computed Tomography (CT) scans of the Chest, A...
Tomography, X-Ray Computed Machine Learning Abdomen Algorithms Pelvis
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