AIMC Topic: Pelvis

Clear Filters Showing 131 to 140 of 229 articles

An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT.

Journal of digital imaging Jan 21, 2021
Admission trauma whole-body CT is routinely employed as a first-line diagnostic tool for characterizing pelvic fracture severity. Tile AO/OTA grade based on the presence or absence of rotational and translational instability corresponds with need for...
Deep Learning Pelvic Bones Fractures, Bone Pelvis Humans Tomography, X-Ray Computed
View on PubMed DOI

A deep learning approach to generate synthetic CT in low field MR-guided adaptive radiotherapy for abdominal and pelvic cases.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Oct 17, 2020
PURPOSE: Artificial intelligence (AI) can play a significant role in Magnetic Resonance guided Radiotherapy (MRgRT), especially to speed up the online adaptive workflow. The aim of this study is to set up a Deep Learning (DL) approach able to generat...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Artificial Intelligence Tomography, X-Ray Computed Deep Learning Humans Abdomen Magnetic Resonance Imaging Pelvis Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

Complete abdomen and pelvis segmentation using U-net variant architecture.

Medical physics Oct 7, 2020
PURPOSE: Organ segmentation of computed tomography (CT) imaging is essential for radiotherapy treatment planning. Treatment planning requires segmentation not only of the affected tissue, but nearby healthy organs-at-risk, which is laborious and time...
Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Abdomen Humans Pelvis Organs at Risk
View on PubMed DOI

On the use of machine learning algorithms in forensic anthropology.

Legal medicine (Tokyo, Japan) Aug 6, 2020
The classification performance of the statistical methods binary logistic regression (BLR), multinomial and penalized multinomial logistic regression (MLR, pMLR), linear discriminant analysis (LDA), and the machine learning algorithms naïve Bayes cla...
Male Support Vector Machine Discriminant Analysis Pelvis Machine Learning Algorithms Female Forensic Anthropology Body Remains Sex Determination by Skeleton Racial Groups Skull Humans
View on PubMed DOI

Radiomics for Diagnosing Lateral Pelvic Lymph Nodes in Rectal Cancer: Artificial Intelligence Enabling Precision Medicine?

Annals of surgical oncology Aug 6, 2020
Humans Artificial Intelligence Lymph Node Excision Pelvis Precision Medicine Rectal Neoplasms Lymph Nodes Lymphatic Metastasis
View on PubMed DOI

The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs.

European journal of radiology Jul 23, 2020
PURPOSE: The purpose of our study is to develop deep convolutional neural network (DCNN) for detecting hip fractures using CT and MRI as a gold standard, and to evaluate the diagnostic performance of 7 readers with and without DCNN.
ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Area Under Curve Pelvis Hip Fractures Radiographic Image Enhancement Aged, 80 and over Humans Male Neural Networks, Computer Middle Aged Radiography, Abdominal Tomography, X-Ray Computed Deep Learning Female Aged
View on PubMed DOI

Impact of indocyanine green-guided extended pelvic lymph node dissection during robot-assisted radical prostatectomy.

International journal of urology : official journal of the Japanese Urological Association Jul 7, 2020
OBJECTIVES: To evaluate the effectiveness of indocyanine green-guided extended pelvic lymph node dissection during robot-assisted radical prostatectomy for intermediate- to high-risk prostate cancer.
Pelvis Indocyanine Green Prostatectomy Lymph Nodes Humans Lymph Node Excision Male Robotics Prostatic Neoplasms
View on PubMed DOI

Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy.

International journal of radiation oncology, biology, physics Jul 4, 2020
PURPOSE: To investigate machine segmentation of pelvic anatomy in magnetic resonance imaging (MRI)-assisted radiosurgery (MARS) for prostate cancer using prostate brachytherapy MRIs acquired with different pulse sequences and image contrasts.
Radiosurgery Urinary Bladder Entropy Urethra Magnetic Resonance Imaging, Interventional Seminal Vesicles Prostate Pelvis Rectum Brachytherapy Cohort Studies Image Processing, Computer-Assisted Prostatic Neoplasms Humans Neural Networks, Computer Retrospective Studies Male Deep Learning
View on PubMed DOI

Automatic segmentation of pelvic organs-at-risk using a fusion network model based on limited training samples.

Acta oncologica (Stockholm, Sweden) Jun 22, 2020
Efficient and accurate methods are needed to automatically segmenting organs-at-risk (OAR) to accelerate the radiotherapy workflow and decrease the treatment wait time. We developed and evaluated the use of a fused model Dense V-Network for its abil...
Intestines Pelvis Rectum Workflow Female Humans Uterine Cervical Neoplasms Neural Networks, Computer Deep Learning Algorithms Organs at Risk Femur Spinal Cord Urinary Bladder Time-to-Treatment
View on PubMed DOI

Utilization of a Peritoneal Interposition Flap to Prevent Symptomatic Lymphoceles After Robotic Radical Prostatectomy and Bilateral Pelvic Lymph Node Dissection.

Journal of endourology May 13, 2020
The peritoneal interposition flap (PIF) has been shown to prevent postoperative symptomatic lymphocele (SL) formation after robot-assisted radical prostatectomy (RARP) and pelvic lymph node dissection (PLND). The PIF inhibits the mobilized bladder f...
Pelvis Lymph Node Excision Prostatectomy Peritoneum Humans Robotics Lymphocele Retrospective Studies Prostatic Neoplasms Male Robotic Surgical Procedures
View on PubMed DOI
Popular Topics
Recent Journals