AIMC Topic: Brachytherapy

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A novel multi-DoF surgical robotic system for brachytherapy on liver tumor: Design and control.

International journal of computer assisted radiology and surgery May 1, 2021
PURPOSE: Radioactive seed implantation is an effective invasive treatment method for malignant liver tumors in hepatocellular carcinomas. However, challenges of the manual procedure may degrade the efficacy of the technique, such as the high accuracy...
Robotics Brachytherapy Phantoms, Imaging Humans Liver Neoplasms
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Artificial intelligence in brachytherapy: a summary of recent developments.

The British journal of radiology Apr 29, 2021
Artificial intelligence (AI) applications, in the form of machine learning and deep learning, are being incorporated into practice in various aspects of medicine, including radiation oncology. Ample evidence from recent publications explores its util...
Forecasting Radiation Oncology Brachytherapy Medical Errors Humans Artificial Intelligence
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Deep learning-based auto-segmentation of organs at risk in high-dose rate brachytherapy of cervical cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 6, 2021
BACKGROUND AND PURPOSE: Delineation of organs at risk (OARs), such as the bladder, rectum and sigmoid, plays an important role in the delivery of optimal absorbed dose to the target owing to the steep gradient in high-dose rate brachytherapy (HDR-BT)...
Deep Learning Image Processing, Computer-Assisted Organs at Risk Reproducibility of Results Uterine Cervical Neoplasms Brachytherapy Humans Female
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Image-guided robots for low dose rate prostate brachytherapy: Perspectives on safety in design and use.

The international journal of medical robotics + computer assisted surgery : MRCAS Mar 10, 2021
BACKGROUND: Image-guided brachytherapy (BT) robots can be used to assist urologists during seed implantation, thereby improving therapeutic effects. However, safety issues must be considered in the design of such robots, including their structure, me...
Humans Male Ultrasonography Brachytherapy Robotics Prostatic Neoplasms
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Machine learning and registration for automatic seed localization in 3D US images for prostate brachytherapy.

Medical physics Jan 28, 2021
PURPOSE: New radiation therapy protocols, in particular adaptive, focal or boost brachytherapy treatments, require determining precisely the position and orientation of the implanted radioactive seeds from real-time ultrasound (US) images. This is ne...
Machine Learning Male Bayes Theorem Humans Prostatic Neoplasms Brachytherapy Phantoms, Imaging
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Deep learning-based digitization of prostate brachytherapy needles in ultrasound images.

Medical physics Oct 27, 2020
PURPOSE: To develop, and evaluate the performance of, a deep learning-based three-dimensional (3D) convolutional neural network (CNN) artificial intelligence (AI) algorithm aimed at finding needles in ultrasound images used in prostate brachytherapy.
Brachytherapy Prostatic Neoplasms Needles Humans Artificial Intelligence Male Deep Learning Ultrasonography Imaging, Three-Dimensional
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Automatic multi-needle localization in ultrasound images using large margin mask RCNN for ultrasound-guided prostate brachytherapy.

Physics in medicine and biology Oct 9, 2020
Multi-needle localization in ultrasound (US) images is a crucial step of treatment planning for US-guided prostate brachytherapy. However, current computer-aided technologies are mostly focused on single-needle digitization, while manual digitization...
Radiotherapy, Image-Guided Deep Learning Ultrasonography Prostatic Neoplasms Automation Needles Brachytherapy Humans Male
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A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy.

International journal of computer assisted radiology and surgery Jul 20, 2020
PURPOSE: This paper addresses the detection of the clinical target volume (CTV) in transrectal ultrasound (TRUS) image-guided intraoperative for permanent prostate brachytherapy. Developing a robust and automatic method to detect the CTV on intraoper...
Brachytherapy Deep Learning Workflow Models, Statistical Reproducibility of Results Ultrasonography Artifacts Humans Prostatic Neoplasms Male Algorithms Prostate Diagnosis, Computer-Assisted
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Deep learning applications in automatic needle segmentation in ultrasound-guided prostate brachytherapy.

Medical physics Jul 16, 2020
PURPOSE: High-Dose-Rate (HDR) brachytherapy is one of the most effective ways to treat the prostate cancer, which is the second most common cancer in men worldwide. This treatment delivers highly conformal dose through the transperineal needle implan...
Humans Male Deep Learning Prostate Prostatic Neoplasms Needles Ultrasonography, Interventional Brachytherapy
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Fast interactive medical image segmentation with weakly supervised deep learning method.

International journal of computer assisted radiology and surgery Jul 11, 2020
PURPOSE: To achieve accurate image segmentation, which is the first critical step in medical image analysis and interventions, using deep neural networks seems a promising approach provided sufficiently large and diverse annotated data from experts. ...
Observer Variation Pattern Recognition, Automated Brachytherapy Image Processing, Computer-Assisted Humans Prostatic Neoplasms Male Prostate Neural Networks, Computer Deep Learning Echocardiography Databases, Factual Ultrasonography Diagnosis, Computer-Assisted Tomography, X-Ray Computed Reproducibility of Results
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