AIMC Topic: Pelvis

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Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation.

IEEE transactions on medical imaging Jun 1, 2022
Prostate segmentation in transrectal ultrasound (TRUS) image is an essential prerequisite for many prostate-related clinical procedures, which, however, is also a long-standing problem due to the challenges caused by the low image quality and shadow ...
Humans Male Pelvis Supervised Machine Learning Artifacts Image Processing, Computer-Assisted Prostate Ultrasonography
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AI-based optimization for US-guided radiation therapy of the prostate.

International journal of computer assisted radiology and surgery May 20, 2022
OBJECTIVES: Fast volumetric ultrasound presents an interesting modality for continuous and real-time intra-fractional target tracking in radiation therapy of lesions in the abdomen. However, the placement of the ultrasound probe close to the target s...
Radiotherapy Dosage Ultrasonography Robotics Pelvis Radiotherapy Planning, Computer-Assisted Humans Prostate Male
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Predicting Perceived Reporting Complexity of Abdominopelvic Computed Tomography With Deep Learning.

Journal of computer assisted tomography May 18, 2022
OBJECTIVE: The purpose of this pilot study was to examine human and automated estimates of reporting complexity for computed tomography (CT) studies of the abdomen and pelvis.
Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Humans Pelvis Pilot Projects
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Automatic contouring QA method using a deep learning-based autocontouring system.

Journal of applied clinical medical physics May 17, 2022
PURPOSE: To determine the most accurate similarity metric when using an independent system to verify automatically generated contours.
Algorithms Tomography, X-Ray Computed Female Humans Pelvis Radiotherapy Planning, Computer-Assisted Deep Learning Lymph Nodes
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Development of an anthropomorphic multimodality pelvic phantom for quantitative evaluation of a deep-learning-based synthetic computed tomography generation technique.

Journal of applied clinical medical physics May 17, 2022
PURPOSE: The objective of this study was to fabricate an anthropomorphic multimodality pelvic phantom to evaluate a deep-learning-based synthetic computed tomography (CT) algorithm for magnetic resonance (MR)-only radiotherapy.
Phantoms, Imaging Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Tomography, X-Ray Computed Male Magnetic Resonance Imaging Pelvis Deep Learning Humans
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Image Quality Evaluation in Dual-Energy CT of the Chest, Abdomen, and Pelvis in Obese Patients With Deep Learning Image Reconstruction.

Journal of computer assisted tomography Apr 27, 2022
OBJECTIVE: The aim of this study was to evaluate image quality in vascular and oncologic dual-energy computed tomography (CT) imaging studies performed with a deep learning (DL)-based image reconstruction algorithm in patients with body mass index of...
Radiation Dosage Algorithms Obesity Image Processing, Computer-Assisted Tomography, X-Ray Computed Humans Pelvis Deep Learning Radiographic Image Interpretation, Computer-Assisted Abdomen
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Bilateral Peritoneal Flaps Reduce Incidence and Complications of Lymphoceles after Robotic Radical Prostatectomy with Pelvic Lymph Node Dissection-Results of the Prospective Randomized Multicenter Trial ProLy.

The Journal of urology Apr 15, 2022
PURPOSE: The purpose of this study was to investigate the effect of a surgically constructed bilateral peritoneal flap (PIF) as an adjunct to robot-assisted radical prostatectomy (RARP) and pelvic lymph node dissection (PLND) on the incidence of lymp...
Prostatectomy Peritoneum Lymphocele Lymph Node Excision Robotics Incidence Robotic Surgical Procedures Pelvis Humans Prostatic Neoplasms Prospective Studies Male
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Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning.

BMC medical informatics and decision making Apr 15, 2022
BACKGROUND: There is progress to be made in building artificially intelligent systems to detect abnormalities that are not only accurate but can handle the true breadth of findings that radiologists encounter in body (chest, abdomen, and pelvis) comp...
Humans Tomography, X-Ray Computed Deep Learning Neural Networks, Computer Abdomen Pelvis
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Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound.

Physics in medicine and biology Mar 29, 2022
Three-dimensional (3D) transrectal ultrasound (TRUS) is utilized in prostate cancer diagnosis and treatment, necessitating time-consuming manual prostate segmentation. We have previously developed an automatic 3D prostate segmentation algorithm invol...
Ultrasonography Prostatic Neoplasms Prostate Male Humans Deep Learning Pelvis
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John Charnley Award: Deep Learning Prediction of Hip Joint Center on Standard Pelvis Radiographs.

The Journal of arthroplasty Mar 16, 2022
BACKGROUND: Accurate hip joint center (HJC) determination is critical for preoperative planning, intraoperative execution, clinical outcomes after total hip arthroplasty, and commonly used classification systems in primary and revision hip replacemen...
Pelvis Hip Joint Awards and Prizes Arthroplasty, Replacement, Hip Humans Male Biomechanical Phenomena Female Deep Learning
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