AIMC Topic: Image-Guided Biopsy

Clear Filters Showing 41 to 50 of 95 articles

Can an Artificial Intelligence Decision Aid Decrease False-Positive Breast Biopsies?

Ultrasound quarterly Dec 28, 2020
This study aimed to evaluate the effect of an artificial intelligence (AI) support system on breast ultrasound diagnostic accuracy.In this Health Insurance Portability and Accountability Act-compliant, institutional review board-approved retrospectiv...
Decision Support Techniques Retrospective Studies Breast Image-Guided Biopsy Humans Artificial Intelligence
View on PubMed DOI

A 3D-2D Hybrid U-Net Convolutional Neural Network Approach to Prostate Organ Segmentation of Multiparametric MRI.

AJR. American journal of roentgenology Nov 10, 2020
OBJECTIVE: Prostate cancer is the most commonly diagnosed cancer in men in the United States with more than 200,000 new cases in 2018. Multiparametric MRI (mpMRI) is increasingly used for prostate cancer evaluation. Prostate organ segmentation is an ...
Male Deep Learning Imaging, Three-Dimensional Prostatic Neoplasms Humans Retrospective Studies Image-Guided Biopsy Multiparametric Magnetic Resonance Imaging
View on PubMed DOI

[Robot-controlled MRI-guided transrectal prostate biopsy, a promising technique].

Nederlands tijdschrift voor geneeskunde Aug 25, 2020
At the so-called in-bore, MRI-guided prostate biopsy, the radiologist in the MRI suite manually directs a rectal biopsy needle guide at an abnormality confirmed by a previous prostate MRI. This manual technique of taking a biopsy is time-consuming an...
Humans Biopsy, Needle Male Prostatic Neoplasms Magnetic Resonance Imaging Rectum Robotics Netherlands Image-Guided Biopsy
View on PubMed

Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment.

European radiology Aug 7, 2020
OBJECTIVES: To simulate clinical deployment, evaluate performance, and establish quality assurance of a deep learning algorithm (U-Net) for detection, localization, and segmentation of clinically significant prostate cancer (sPC), ISUP grade group ≥ ...
Image-Guided Biopsy Humans Prospective Studies Male Deep Learning Magnetic Resonance Imaging Prostatic Neoplasms
View on PubMed DOI

Guiding biopsies of pigmented lesions with deep learning.

The Australasian journal of dermatology Jul 22, 2020
Image-Guided Biopsy Nevus, Pigmented Melanoma Skin Neoplasms Deep Learning Humans
View on PubMed DOI

Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions.

International journal of computer assisted radiology and surgery Jul 16, 2020
PURPOSE: Accurate needle tracking provides essential information for MRI-guided percutaneous interventions. Passive needle tracking using MR images is challenged by variations of the needle-induced signal void feature in different situations. This wo...
Humans Neural Networks, Computer Prostate Needles Image-Guided Biopsy Algorithms Male Magnetic Resonance Imaging
View on PubMed DOI

Editorial for "Deep-Learning-Based Artificial Intelligence for PI-RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study".

Journal of magnetic resonance imaging : JMRI Jun 16, 2020
Humans Magnetic Resonance Imaging Prostatic Neoplasms Image-Guided Biopsy Artificial Intelligence Male Deep Learning
View on PubMed DOI

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.
Prostate-Specific Antigen Machine Learning Prostate Retrospective Studies Validation Studies as Topic Decision Trees Reproducibility of Results Image-Guided Biopsy Area Under Curve Aged ROC Curve Radiography Unnecessary Procedures Aged, 80 and over Logistic Models Multiparametric Magnetic Resonance Imaging Male Prostatic Neoplasms Support Vector Machine Humans Middle Aged Ultrasonography
View on PubMed DOI

Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Radiography, Interventional Image-Guided Biopsy Portasystemic Shunt, Transjugular Intrahepatic Iatrogenic Disease Pneumothorax Uterine Artery Embolization Hospital Mortality Humans Risk Factors United States Machine Learning Aged Risk Assessment Inpatients Databases, Factual Aged, 80 and over Time Factors Data Mining Infant Young Adult Adult Child, Preschool Length of Stay Retrospective Studies Male Child Adolescent Female Middle Aged Infant, Newborn
View on PubMed DOI

High spatiotemporal resolution dynamic contrast-enhanced MRI improves the image-based discrimination of histopathology risk groups of peripheral zone prostate cancer: a supervised machine learning approach.

European radiology Apr 23, 2020
OBJECTIVE: To assess if adding perfusion information from dynamic contrast-enhanced (DCE MRI) acquisition schemes with high spatiotemporal resolution to T2w/DWI sequences as input features for a gradient boosting machine (GBM) machine learning (ML) c...
Neoplasm Staging Diffusion Magnetic Resonance Imaging Humans Male Supervised Machine Learning Retrospective Studies ROC Curve Image-Guided Biopsy Aged Contrast Media Prostatic Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals