AIMC Topic: Prostate

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Deep-learning-based segmentation using individual patient data on prostate cancer radiation therapy.

PloS one Jul 31, 2024
PURPOSE: Organ-at-risk segmentation is essential in adaptive radiotherapy (ART). Learning-based automatic segmentation can reduce committed labor and accelerate the ART process. In this study, an auto-segmentation model was developed by employing ind...
Deep Learning Humans Prostate Tomography, X-Ray Computed Organs at Risk Urinary Bladder Image Processing, Computer-Assisted Male Radiotherapy Planning, Computer-Assisted Prostatic Neoplasms
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A Comparison of Systematic, Targeted, and Combined Biopsy Using Machine Learning for Prediction of Prostate Cancer Risk: A Multi-Center Study.

Medical principles and practice : international journal of the Kuwait University, Health Science Centre Jul 24, 2024
OBJECTIVES: The aims of the study were to construct a new prognostic prediction model for detecting prostate cancer (PCa) patients using machine-learning (ML) techniques and to compare those models across systematic and target biopsy detection techni...
Male Middle Aged Risk Assessment Algorithms Retrospective Studies Aged Humans Prostate Saudi Arabia Multiparametric Magnetic Resonance Imaging Image-Guided Biopsy Machine Learning Prostatic Neoplasms Prostate-Specific Antigen
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Improved quantitative parameter estimation for prostate T relaxometry using convolutional neural networks.

Magma (New York, N.Y.) Jul 23, 2024
OBJECTIVE: Quantitative parameter mapping conventionally relies on curve fitting techniques to estimate parameters from magnetic resonance image series. This study compares conventional curve fitting techniques to methods using neural networks (NN) f...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Prostatic Neoplasms Prostate Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Algorithms Reproducibility of Results Male Humans Neural Networks, Computer
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External validation of an artificial intelligence model for Gleason grading of prostate cancer on prostatectomy specimens.

BJU international Jul 11, 2024
OBJECTIVES: To externally validate the performance of the DeepDx Prostate artificial intelligence (AI) algorithm (Deep Bio Inc., Seoul, South Korea) for Gleason grading on whole-mount prostate histopathology, considering potential variations observed...
Aged Male Middle Aged Humans Artificial Intelligence Algorithms Prostatectomy Prostatic Neoplasms Neoplasm Grading Prostate
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Using multi-label ensemble CNN classifiers to mitigate labelling inconsistencies in patch-level Gleason grading.

PloS one Jul 5, 2024
This paper presents a novel approach to enhance the accuracy of patch-level Gleason grading in prostate histopathology images, a critical task in the diagnosis and prognosis of prostate cancer. This study shows that the Gleason grading accuracy can b...
Prostate Deep Learning Prostatic Neoplasms Neoplasm Grading Neural Networks, Computer Algorithms Male Humans
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Prostate cancer risk assessment and avoidance of prostate biopsies using fully automatic deep learning in prostate MRI: comparison to PI-RADS and integration with clinical data in nomograms.

European radiology Jul 2, 2024
OBJECTIVES: Risk calculators (RCs) improve patient selection for prostate biopsy with clinical/demographic information, recently with prostate MRI using the prostate imaging reporting and data system (PI-RADS). Fully-automated deep learning (DL) anal...
Humans Retrospective Studies Aged Prostatic Neoplasms Prostate Biopsy Image-Guided Biopsy Deep Learning Nomograms Magnetic Resonance Imaging Male Middle Aged Risk Assessment
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Estimating Surgical Urethral Length on Intraoperative Robot-Assisted Prostatectomy Images Using Artificial Intelligence Anatomy Recognition.

Journal of endourology Jul 1, 2024
To construct a convolutional neural network (CNN) model that can recognize and delineate anatomic structures on intraoperative video frames of robot-assisted radical prostatectomy (RARP) and to use these annotations to predict the surgical urethral ...
Prostate Prostatectomy Urethra Male Image Processing, Computer-Assisted Neural Networks, Computer Robotic Surgical Procedures Artificial Intelligence Humans
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Mixed Supervision of Histopathology Improves Prostate Cancer Classification From MRI.

IEEE transactions on medical imaging Jul 1, 2024
Non-invasive prostate cancer classification from MRI has the potential to revolutionize patient care by providing early detection of clinically significant disease, but has thus far shown limited positive predictive value. To address this, we present...
Magnetic Resonance Imaging Prostatic Neoplasms Prostate Image Interpretation, Computer-Assisted Humans Male Deep Learning
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3D residual attention hierarchical fusion for real-time detection of the prostate capsule.

BMC medical imaging Jun 24, 2024
BACKGROUND: For prostate electrosurgery, where real-time surveillance screens are relied upon for operations, manual identification of the prostate capsule remains the primary method. With the need for rapid and accurate detection becoming increasing...
Humans Male Deep Learning Imaging, Three-Dimensional Prostatic Neoplasms Prostate
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Transition-zone PSA-density calculated from MRI deep learning prostate zonal segmentation model for prediction of clinically significant prostate cancer.

Abdominal radiology (New York) Jun 19, 2024
PURPOSE: To develop a deep learning (DL) zonal segmentation model of prostate MR from T2-weighted images and evaluate TZ-PSAD for prediction of the presence of csPCa (Gleason score of 7 or higher) compared to PSAD.
Image Interpretation, Computer-Assisted Deep Learning Aged Magnetic Resonance Imaging Male Neoplasm Grading Humans Predictive Value of Tests Middle Aged Prostatic Neoplasms Prostate Retrospective Studies Prostate-Specific Antigen
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