AIMC Topic: Prostate

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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. ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Prostatic Neoplasms Prostate Observer Variation Databases, Factual Echocardiography Tomography, X-Ray Computed Pattern Recognition, Automated Diagnosis, Computer-Assisted Reproducibility of Results Deep Learning Male Brachytherapy Ultrasonography
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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.
Humans Image Processing, Computer-Assisted Neural Networks, Computer Entropy Rectum Retrospective Studies Prostatic Neoplasms Urethra Brachytherapy Male Prostate Magnetic Resonance Imaging, Interventional Radiosurgery Deep Learning Pelvis Seminal Vesicles Urinary Bladder Cohort Studies
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Clinical Evaluation of Deep Learning and Atlas-Based Auto-Contouring of Bladder and Rectum for Prostate Radiation Therapy.

Practical radiation oncology Jun 27, 2020
PURPOSE: Auto-contouring may reduce workload, interobserver variation, and time associated with manual contouring of organs at risk. Manual contouring remains the standard due in part to uncertainty around the time and workload savings after accounti...
Humans Retrospective Studies Male Deep Learning Prostate Rectum Organs at Risk Radiotherapy Planning, Computer-Assisted Urinary Bladder
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Retzius-sparing Robot-assisted Radical Prostatectomy Leads to Durable Improvement in Urinary Function and Quality of Life Versus Standard Robot-assisted Radical Prostatectomy Without Compromise on Oncologic Efficacy: Single-surgeon Series and Step-by-step Guide.

European urology Jun 11, 2020
BACKGROUND: Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) has been shown to improve continence. However, questions remain regarding feasibility and generalizability of technique and outcomes.
Treatment Outcome Robotics Prostatic Neoplasms Robotic Surgical Procedures Prostate Prostatectomy Retrospective Studies Margins of Excision Male Urinary Incontinence Humans Surgeons Quality of Life
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Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.

European radiology Jun 10, 2020
OBJECTIVE: To evaluate machine learning-based classifiers in detecting clinically significant prostate cancer (PCa) with Prostate Imaging Reporting and Data System (PI-RADS) score 3 lesions.
Image-Guided Biopsy Unnecessary Procedures Multiparametric Magnetic Resonance Imaging Prostatic Neoplasms Prostate-Specific Antigen Prostate Validation Studies as Topic Middle Aged Ultrasonography ROC Curve Logistic Models Support Vector Machine Reproducibility of Results Decision Trees Area Under Curve Humans Aged Radiography Machine Learning Aged, 80 and over Retrospective Studies Male
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Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI.

Sensors (Basel, Switzerland) Jun 3, 2020
In this paper, we present an evaluation of four encoder-decoder CNNs in the segmentation of the prostate gland in T2W magnetic resonance imaging (MRI) image. The four selected CNNs are FCN, SegNet, U-Net, and DeepLabV3+, which was originally proposed...
Humans Prostate Semantics Neural Networks, Computer Male Image Processing, Computer-Assisted Magnetic Resonance Imaging
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RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy Via Deep Learning.

International journal of radiation oncology, biology, physics May 12, 2020
PURPOSE: Detailed and accurate absorbed dose calculations from radiation interactions with the human body can be obtained with the Monte Carlo (MC) method. However, the MC method can be slow for use in the time-sensitive clinical workflow. The aim of...
Iridium Radioisotopes Male Deep Learning Prostatic Neoplasms Prostate Neural Networks, Computer Brachytherapy Rectum Retrospective Studies Female Colon, Sigmoid Humans Uterine Cervical Neoplasms Organs at Risk Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Monte Carlo Method Urinary Bladder
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Augmented deep learning model for improved quantitative accuracy of MR-based PET attenuation correction in PSMA PET-MRI prostate imaging.

European journal of nuclear medicine and molecular imaging May 11, 2020
PURPOSE: Estimation of accurate attenuation maps for whole-body positron emission tomography (PET) imaging in simultaneous PET-MRI systems is a challenging problem as it affects the quantitative nature of the modality. In this study, we aimed to impr...
Prostate Positron-Emission Tomography Male Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Tomography, X-Ray Computed
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Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.

Medical physics Apr 8, 2020
PURPOSE: Needle-based procedures for diagnosing and treating prostate cancer, such as biopsy and brachytherapy, have incorporated three-dimensional (3D) transrectal ultrasound (TRUS) imaging to improve needle guidance. Using these images effectively ...
Deep Learning Ultrasonography Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Prostatic Neoplasms Male Prostate Brachytherapy
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Re: Retzius-Sparing Robot-Assisted Radical Prostatectomy vs the Standard Approach: A Systematic Review and Analysis of Comparative Outcomes.

The Journal of urology Apr 2, 2020
Prostate Humans Prostatectomy Male Robotics
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