AIMC Topic: Urinary Bladder

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Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients.

Nature communications Oct 30, 2020
Cancer patient classification using predictive biomarkers for anti-cancer drug responses is essential for improving therapeutic outcomes. However, current machine-learning-based predictions of drug response often fail to identify robust translational...
Antineoplastic Agents Transcriptome Cell Line, Tumor Protein Interaction Maps Machine Learning Colorectal Neoplasms Biomarkers, Tumor Cisplatin Fluorouracil Urinary Bladder Organoids Gene Regulatory Networks Gene Expression Regulation, Neoplastic Drug Development Urinary Bladder Neoplasms Humans
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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.
Humans Neural Networks, Computer Retrospective Studies Male Brachytherapy Radiosurgery Urinary Bladder Entropy Urethra Deep Learning Magnetic Resonance Imaging, Interventional Cohort Studies Seminal Vesicles Image Processing, Computer-Assisted Prostatic Neoplasms Prostate Pelvis Rectum
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Clinical Evaluation of Deep Learning and Atlas-Based Auto-Contouring of Bladder and Rectum for Prostate Radiation Therapy.

Practical radiation oncology Jun 27, 2020
PURPOSE: Auto-contouring may reduce workload, interobserver variation, and time associated with manual contouring of organs at risk. Manual contouring remains the standard due in part to uncertainty around the time and workload savings after accounti...
Urinary Bladder Humans Retrospective Studies Male Deep Learning Prostate Rectum Organs at Risk Radiotherapy Planning, Computer-Assisted
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Automatic segmentation of pelvic organs-at-risk using a fusion network model based on limited training samples.

Acta oncologica (Stockholm, Sweden) Jun 22, 2020
Efficient and accurate methods are needed to automatically segmenting organs-at-risk (OAR) to accelerate the radiotherapy workflow and decrease the treatment wait time. We developed and evaluated the use of a fused model Dense V-Network for its abil...
Femur Urinary Bladder Intestines Pelvis Rectum Workflow Organs at Risk Spinal Cord Time-to-Treatment Algorithms Female Uterine Cervical Neoplasms Deep Learning Humans Neural Networks, Computer
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Machine learning paradigm for dynamic contrast-enhanced MRI evaluation of expanding bladder.

Frontiers in bioscience (Landmark edition) Jun 1, 2020
Delineation of the bladder under a dynamic contrast enhanced (DCE)-MRI protocol requires robust segmentation. However, this method is subject to errors due to variations in the content of fluid within the bladder, as well as presence of air and simil...
Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Humans Contrast Media Magnetic Resonance Imaging Urinary Bladder Radiographic Image Enhancement
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RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy Via Deep Learning.

International journal of radiation oncology, biology, physics May 12, 2020
PURPOSE: Detailed and accurate absorbed dose calculations from radiation interactions with the human body can be obtained with the Monte Carlo (MC) method. However, the MC method can be slow for use in the time-sensitive clinical workflow. The aim of...
Uterine Cervical Neoplasms Male Deep Learning Prostatic Neoplasms Prostate Rectum Humans Colon, Sigmoid Organs at Risk Radiotherapy Dosage Neural Networks, Computer Radiotherapy Planning, Computer-Assisted Monte Carlo Method Retrospective Studies Brachytherapy Urinary Bladder Female Iridium Radioisotopes
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Stepwise Description and Outcomes of Bladder Neck Sparing Robot-Assisted Simple Prostatectomy.

Journal of endourology Apr 21, 2020
To present a stepwise description and outcomes of bladder neck sparing (BNS) robot-assisted simple prostatectomy (RASP). Between March 2015 and December 2018, 30 consecutive patients with benign prostate hyperplasia underwent BNS RASP. Baseline cha...
Robotics Prostatectomy Urinary Bladder Aged Male Treatment Outcome Prostatic Hyperplasia Humans Retrospective Studies
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An Underwater Robotic Manipulator with Soft Bladders and Compact Depth-Independent Actuation.

Soft robotics Feb 28, 2020
An underwater manipulator is essential for underwater robotic sampling and other service operations. Conventional rigid body underwater manipulators generally required substantial size and weight, leading to hindered general applications. Pioneering ...
Robotics Robotic Surgical Procedures Urinary Bladder
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An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy.

Scientific reports Feb 17, 2020
We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step towards understanding the limitations of existing state-of-the-art comput...
Image Interpretation, Computer-Assisted Artifacts Datasets as Topic Urinary Bladder Humans Stomach Imaging, Three-Dimensional International Cooperation Neural Networks, Computer Female Esophagus Algorithms Endoscopy Uterus Male Colon
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Reply by Authors.

The Journal of urology Feb 7, 2020
Urinary Bladder Robotics Robotic Surgical Procedures Cystectomy
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