AIMC Topic: Prostatic Neoplasms

Clear Filters Showing 841 to 850 of 1447 articles

Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.

European radiology Jul 16, 2020
OBJECTIVES: To analyze the performance of radiological assessment categories and quantitative computational analysis of apparent diffusion coefficient (ADC) maps using variant machine learning algorithms to differentiate clinically significant versus...
Humans Machine Learning Algorithms Retrospective Studies Reproducibility of Results Principal Component Analysis Middle Aged Area Under Curve Treatment Outcome Prostatic Neoplasms Aged Support Vector Machine Biopsy Prostate Aged, 80 and over Cluster Analysis Prostatectomy Adult Diffusion Magnetic Resonance Imaging Multiparametric Magnetic Resonance Imaging Male
View on PubMed DOI

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...
Deep Learning Prostatic Neoplasms Ultrasonography, Interventional Prostate Humans Male Needles Brachytherapy
View on PubMed DOI

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. ...
Brachytherapy Diagnosis, Computer-Assisted Deep Learning Ultrasonography Image Processing, Computer-Assisted Prostatic Neoplasms Prostate Observer Variation Pattern Recognition, Automated Tomography, X-Ray Computed Reproducibility of Results Male Echocardiography Humans Neural Networks, Computer Databases, Factual
View on PubMed DOI

The benefit of prehabilitation and enhanced recovery in robot-assisted radical prostatectomy and the promising future of these protocols in the field of urologic oncology.

Cancer Jul 8, 2020
Robotics Prostatic Neoplasms Prostatectomy Humans Male Urologic Neoplasms
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.
Humans Prostatic Neoplasms Pelvis Indocyanine Green Prostatectomy Male Lymph Nodes Lymph Node Excision Robotics
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.
Prostate Magnetic Resonance Imaging, Interventional Seminal Vesicles Pelvis Rectum Radiosurgery Brachytherapy Deep Learning Urinary Bladder Cohort Studies Entropy Humans Image Processing, Computer-Assisted Neural Networks, Computer Urethra Prostatic Neoplasms Retrospective Studies Male
View on PubMed DOI

Machine learning of diffraction image patterns for accurate classification of cells modeled with different nuclear sizes.

Journal of biophotonics Jul 3, 2020
Measurement of nuclear-to-cytoplasm (N:C) ratios plays an important role in detection of atypical and tumor cells. Yet, current clinical methods rely heavily on immunofluroescent staining and manual reading. To achieve the goal of rapid and label-fre...
Algorithms Male Support Vector Machine Prostatic Neoplasms Humans Machine Learning
View on PubMed DOI

Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis.

European radiology Jun 30, 2020
OBJECTIVES: The aim of this study was to systematically review the literature and perform a meta-analysis of machine learning (ML) diagnostic accuracy studies focused on clinically significant prostate cancer (csPCa) identification on MRI.
Magnetic Resonance Imaging Area Under Curve Prostatic Neoplasms Biopsy Male Prevalence Reference Standards Diagnosis, Computer-Assisted Humans Prostatectomy ROC Curve Machine Learning Algorithms
View on PubMed DOI

Bioinformatics analysis of the genes involved in the extension of prostate cancer to adjacent lymph nodes by supervised and unsupervised machine learning methods: The role of SPAG1 and PLEKHF2.

Genomics Jun 30, 2020
The present study aimed to identify the genes associated with the involvement of adjunct lymph nodes of patients with prostate cancer (PCa) and to provide valuable information for the identification of potential diagnostic biomarkers and pathological...
Supervised Machine Learning Lymphatic Metastasis GTP-Binding Proteins Humans Datasets as Topic Cluster Analysis Male Antigens, Surface Unsupervised Machine Learning Computational Biology Vesicular Transport Proteins Prostatic Neoplasms
View on PubMed DOI

Using decision curve analysis to benchmark performance of a magnetic resonance imaging-based deep learning model for prostate cancer risk assessment.

European radiology Jun 26, 2020
OBJECTIVES: To benchmark the performance of a calibrated 3D convolutional neural network (CNN) applied to multiparametric MRI (mpMRI) for risk assessment of clinically significant prostate cancer (csPCa) using decision curve analysis (DCA).
Observer Variation Calibration Normal Distribution Prostatic Neoplasms Prostate-Specific Antigen Biopsy Benchmarking Algorithms Deep Learning Retrospective Studies Image Processing, Computer-Assisted Male Magnetic Resonance Imaging Risk Assessment Humans Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals