AIMC Topic: Prostate

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Harnessing clinical annotations to improve deep learning performance in prostate segmentation.

PloS one Jun 25, 2021
PURPOSE: Developing large-scale datasets with research-quality annotations is challenging due to the high cost of refining clinically generated markup into high precision annotations. We evaluated the direct use of a large dataset with only clinicall...
Prostate Data Curation Tomography, X-Ray Computed Male Deep Learning Humans Databases, Factual Retrospective Studies
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Preclinical evaluation of a markerless, real-time, augmented reality guidance system for robot-assisted radical prostatectomy.

International journal of computer assisted radiology and surgery Jun 2, 2021
PURPOSE: Intra-operative augmented reality (AR) during surgery can mitigate incomplete cancer removal by overlaying the anatomical boundaries extracted from medical imaging data onto the camera image. In this paper, we present the first such complete...
Prostate Augmented Reality Surgery, Computer-Assisted Equipment Failure Robotics Equipment Design Prostatectomy Humans Algorithms Male Computer Systems Ultrasonography Imaging, Three-Dimensional
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Domain adaptation for segmentation of critical structures for prostate cancer therapy.

Scientific reports Jun 1, 2021
Preoperative assessment of the proximity of critical structures to the tumors is crucial in avoiding unnecessary damage during prostate cancer treatment. A patient-specific 3D anatomical model of those structures, namely the neurovascular bundles (NV...
Tomography, X-Ray Computed Male Humans Prostatic Neoplasms Neural Networks, Computer Prostate
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Editorial for "Deep Learning Whole-Gland and Zonal Prostate Segmentation on a Public MRI Dataset".

Journal of magnetic resonance imaging : JMRI May 30, 2021
Humans Male Prostate Specimen Handling Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Discovery of primary prostate cancer biomarkers using cross cancer learning.

Scientific reports May 17, 2021
Prostate cancer (PCa), the second leading cause of cancer death in American men, is a relatively slow-growing malignancy with multiple early treatment options. Yet, a significant number of low-risk PCa patients are over-diagnosed and over-treated wit...
Deep Learning Computational Biology Gene Expression Regulation, Neoplastic Ovarian Neoplasms Prostatic Neoplasms Prostate Male Risk Assessment Gene Expression Profiling Female Breast Neoplasms Biomarkers, Tumor Humans Datasets as Topic
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Development and head-to-head comparison of machine-learning models to identify patients requiring prostate biopsy.

BMC urology May 16, 2021
BACKGROUND: Machine learning has many attractive theoretic properties, specifically, the ability to handle non predefined relations. Additionally, studies have validated the clinical utility of mpMRI for the detection and localization of CSPCa (Gleas...
Middle Aged Models, Theoretical Prostate Biopsy Patient Selection Multiparametric Magnetic Resonance Imaging Retrospective Studies Aged Male Humans Machine Learning
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Male pelvic multi-organ segmentation on transrectal ultrasound using anchor-free mask CNN.

Medical physics May 14, 2021
PURPOSE: Current prostate brachytherapy uses transrectal ultrasound images for implant guidance, where contours of the prostate and organs-at-risk are necessary for treatment planning and dose evaluation. This work aims to develop a deep learning-bas...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Prostate Pelvis Retrospective Studies Male Ultrasonography
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Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.

BMC medical imaging May 8, 2021
BACKGROUND: One challenge to train deep convolutional neural network (CNNs) models with whole slide images (WSIs) is providing the required large number of costly, manually annotated image regions. Strategies to alleviate the scarcity of annotated da...
Prostatic Neoplasms Neoplasm Grading Prostate Neural Networks, Computer Male Diagnosis, Computer-Assisted Tissue Array Analysis Supervised Machine Learning Datasets as Topic Prostatectomy Humans
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Digital Frozen Sections with Fluorescence Confocal Microscopy During Robot-assisted Radical Prostatectomy: Surgical Technique.

European urology May 6, 2021
BACKGROUND: Robot-assisted radical prostatectomy (RARP) involves a tradeoff between oncological control and functional outcomes. Intraoperative control of surgical margins (SMs) may help in ensuring the safety of the dissection. Fluorescence confocal...
Robotic Surgical Procedures Prostate Prostatectomy Margins of Excision Frozen Sections Microscopy, Confocal Robotics Prostatic Neoplasms Humans Prospective Studies Male
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Extraperitoneal versus transperitoneal approach for robot-assisted radical prostatectomy: a contemporary systematic review and meta-analysis.

Journal of robotic surgery Apr 27, 2021
We aim to evaluate the differences in peri-operative characteristics, surgical complications, and oncological and functional control between the extraperitoneal RARP (EP-RARP) and transperitoneal RARP (TP-RARP). A comprehensive database search was pe...
Margins of Excision Robotic Surgical Procedures Prostate Prostatectomy Male Humans Treatment Outcome Robotics
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