AIMC Topic: Prostate

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Artificial intelligence-based versus manual assessment of prostate cancer in the prostate gland: a method comparison study.

Clinical physiology and functional imaging Sep 8, 2019
AIM: To test the feasibility of a fully automated artificial intelligence-based method providing PET measures of prostate cancer (PCa).
Middle Aged Predictive Value of Tests Positron Emission Tomography Computed Tomography Prostatic Neoplasms Humans Neural Networks, Computer Aged Male Choline Image Interpretation, Computer-Assisted Automation Fluorine Radioisotopes Prostatectomy Prostate Workflow Feasibility Studies Radiopharmaceuticals
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Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning.

International journal of radiation oncology, biology, physics Sep 7, 2019
PURPOSE: Deep learning methods (DLMs) have recently been proposed to generate pseudo-CT (pCT) for magnetic resonance imaging (MRI) based dose planning. This study aims to evaluate and compare DLMs (U-Net and generative adversarial network [GAN]) usin...
Magnetic Resonance Imaging Prostatic Neoplasms Prostate Pelvis Humans Tomography, X-Ray Computed Male Deep Learning Radiotherapy, Intensity-Modulated Bone and Bones Urinary Bladder Uncertainty Rectum Femur Head Reference Values Radiotherapy Dosage
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A deep learning method for image-based subject-specific local SAR assessment.

Magnetic resonance in medicine Sep 4, 2019
PURPOSE: Local specific absorption rate (SAR) cannot be measured and is usually evaluated by offline numerical simulations using generic body models that of course will differ from the patient's anatomy. An additional safety margin is needed to inclu...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Computer Simulation Humans Prostate Models, Statistical Neural Networks, Computer Prostatic Neoplasms Reproducibility of Results Healthy Volunteers Algorithms Signal-To-Noise Ratio Male Databases, Factual Phantoms, Imaging Deep Learning
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Re: A Comparative Study of Robot-assisted and Open Radical Prostatectomy in 10 790 Men Treated by Highly Trained Surgeons for Both Procedures.

European urology Aug 31, 2019
Humans Male Surgeons Robotics Prostate Prostatectomy
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A machine learning-assisted decision-support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection.

BJU international Aug 28, 2019
OBJECTIVES: To develop a machine learning (ML)-assisted model to identify candidates for extended pelvic lymph node dissection (ePLND) in prostate cancer by integrating clinical, biopsy, and precisely defined magnetic resonance imaging (MRI) findings...
Decision Trees Prostatic Neoplasms Prostate Lymph Nodes Pelvis Humans Machine Learning Support Vector Machine Aged, 80 and over Magnetic Resonance Imaging Male Retrospective Studies Lymph Node Excision Middle Aged Aged
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Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation.

IEEE transactions on medical imaging Aug 13, 2019
Accurate segmentation of the prostate from magnetic resonance (MR) images provides useful information for prostate cancer diagnosis and treatment. However, automated prostate segmentation from 3D MR images faces several challenges. The lack of clear ...
Prostatic Neoplasms Prostate Humans Male Neural Networks, Computer Deep Learning Databases, Factual Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Deep learning-based color holographic microscopy.

Journal of biophotonics Aug 1, 2019
We report a framework based on a generative adversarial network that performs high-fidelity color image reconstruction using a single hologram of a sample that is illuminated simultaneously by light at three different wavelengths. The trained network...
Humans Male Deep Learning Image Processing, Computer-Assisted Color Prostate Microscopy Holography
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Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks.

IEEE transactions on medical imaging Jul 19, 2019
The Hausdorff Distance (HD) is widely used in evaluating medical image segmentation methods. However, the existing segmentation methods do not attempt to reduce HD directly. In this paper, we present novel loss functions for training convolutional ne...
Humans Neural Networks, Computer Liver Algorithms Diagnostic Imaging Male Prostate Image Processing, Computer-Assisted
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Engineering approaches for characterizing soft tissue mechanical properties: A review.

Clinical biomechanics (Bristol, Avon) Jul 16, 2019
From cancer diagnosis to detailed characterization of arterial wall biomechanics, the elastic property of tissues is widely studied as an early sign of disease onset. The fibrous structural features of tissues are a direct measure of its health and f...
Stomach Bioengineering Elasticity Imaging Techniques Liver Microscopy, Atomic Force Area Under Curve Humans Biomechanical Phenomena Elasticity Diagnostic Imaging Equipment Design Machine Learning Cell Membrane Tomography, Optical Coherence Male Robotic Surgical Procedures Vagina Neoplasms Prostate Female Fiber Optic Technology Breast Brain Neoplasms
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Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images.

Medical image analysis Jul 15, 2019
The goal of this work was to develop a method for accurate and robust automatic segmentation of the prostate clinical target volume in transrectal ultrasound (TRUS) images for brachytherapy. These images can be difficult to segment because of weak or...
Artifacts Humans Pattern Recognition, Automated Brachytherapy Image Processing, Computer-Assisted Neural Networks, Computer Anatomic Landmarks Male Prostatic Neoplasms Deep Learning Prostate Ultrasonography
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