AIMC Topic: Prostate

Clear Filters Showing 351 to 360 of 616 articles

Global guidance network for breast lesion segmentation in ultrasound images.

Medical image analysis Feb 4, 2021
Automatic breast lesion segmentation in ultrasound helps to diagnose breast cancer, which is one of the dreadful diseases that affect women globally. Segmenting breast regions accurately from ultrasound image is a challenging task due to the inherent...
Female Male Ultrasonography Humans Neural Networks, Computer Ultrasonography, Mammary Breast Image Processing, Computer-Assisted Prostate
View on PubMed DOI

Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database.

The Lancet. Digital health Feb 3, 2021
BACKGROUND: Accurate prognostication is crucial in treatment decisions made for men diagnosed with non-metastatic prostate cancer. Current models rely on prespecified variables, which limits their performance. We aimed to investigate a novel machine ...
Adult Male Middle Aged Aged Aged, 80 and over Machine Learning Prostatic Neoplasms Humans Prognosis Nomograms Algorithms Databases, Factual Retrospective Studies United States Prostate Risk Assessment Survival Analysis
View on PubMed DOI

Multi-Institutional Assessment of Routine Same Day Discharge Surgery for Robot-Assisted Radical Prostatectomy. Letter.

The Journal of urology Jan 22, 2021
Patient Discharge Ambulatory Surgical Procedures Prostatectomy Robotics Prostate Humans Male
View on PubMed DOI

Re: Randomized Comparison of Techniques for Control of the Dorsal Venous Complex During Robot-assisted Laparoscopic Radical Prostatectomy.

European urology Dec 28, 2020
Prostatectomy Laparoscopy Robotic Surgical Procedures Prostate Humans Male Robotics
View on PubMed DOI

Comparing the Approach to Radical Prostatectomy Using the Multiport da Vinci Xi and da Vinci SP Robots: A Propensity Score Analysis of Perioperative Outcomes.

European urology Dec 24, 2020
BACKGROUND: Use of the single-port da Vinci SP robotic platform for various urological procedures has been described by several groups. However, the comparative performance of the SP robot in relation to earlier models such as the da Vinci Xi is stil...
Humans Robotics Prostatic Neoplasms Propensity Score Male Prostatectomy Robotic Surgical Procedures Prostate
View on PubMed DOI

Response to: Williams, Kotamarti, and Schulman re: "Outpatient Robot-Assisted Radical Prostatectomy: Are Patients Ready for Same-Day Discharge?" by Dobbs et al.

Journal of endourology Dec 22, 2020
Prostatectomy Male Patient Discharge Humans Robotics Prostate Outpatients
View on PubMed DOI

[Robotics and intraoperative navigation].

Der Urologe. Ausg. A Dec 15, 2020
Urology has always been closely linked to technological progress. In the last few decades, we have witnessed increasing implementation of various technologies and innovations in subdisciplines of urology. While conventional laparoscopy is increasingl...
Prostate Surgery, Computer-Assisted Urology Male Robotics Laparoscopy Humans
View on PubMed DOI

Semi-supervised task-driven data augmentation for medical image segmentation.

Medical image analysis Dec 9, 2020
Supervised learning-based segmentation methods typically require a large number of annotated training data to generalize well at test time. In medical applications, curating such datasets is not a favourable option because acquiring a large number of...
Prostate Supervised Machine Learning Humans Male
View on PubMed DOI

Computerized Classification of Prostate Cancer Gleason Scores from Whole Slide Images.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
Histological Gleason grading of tumor patterns is one of the most powerful prognostic predictors in prostate cancer. However, manual analysis and grading performed by pathologists are typically subjective and time-consuming. In this paper, we present...
Neoplasm Grading Prostate Image Interpretation, Computer-Assisted Support Vector Machine Prostatic Neoplasms Humans Male
View on PubMed DOI

Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Nov 19, 2020
PURPOSE:  A recently developed deep learning model (U-Net) approximated the clinical performance of radiologists in the prediction of clinically significant prostate cancer (sPC) from prostate MRI. Here, we compare the agreement between lesion segmen...
Magnetic Resonance Imaging Retrospective Studies Prostate Radiologists Male Humans Deep Learning Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals