AIMC Topic: Prostate

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Automatic Segmentation of the Prostate on CT Images Using Deep Neural Networks (DNN).

International journal of radiation oncology, biology, physics Mar 16, 2019
PURPOSE: Recent advances in deep neural networks (DNNs) have unlocked opportunities for their application for automatic image segmentation. We have evaluated a DNN-based algorithm for automatic segmentation of the prostate gland on a large cohort of ...
Radiotherapy Planning, Computer-Assisted Male Prostatic Neoplasms Prostate Humans Algorithms Retrospective Studies Neural Networks, Computer Machine Learning
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A dense multi-path decoder for tissue segmentation in histopathology images.

Computer methods and programs in biomedicine Mar 14, 2019
BACKGROUND AND OBJECTIVE: Segmenting different tissue components in histopathological images is of great importance for analyzing tissues and tumor environments. In recent years, an encoder-decoder family of convolutional neural networks has increasi...
Software Algorithms Female Reproducibility of Results Humans Neural Networks, Computer Pattern Recognition, Automated Histology Area Under Curve Prostate Male Breast ROC Curve Epithelium Image Processing, Computer-Assisted
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Comparison of Artificial Intelligence Techniques to Evaluate Performance of a Classifier for Automatic Grading of Prostate Cancer From Digitized Histopathologic Images.

JAMA network open Mar 1, 2019
IMPORTANCE: Proper evaluation of the performance of artificial intelligence techniques in the analysis of digitized medical images is paramount for the adoption of such techniques by the medical community and regulatory agencies.
Humans Neoplasm Grading Artificial Intelligence Male Prostate Middle Aged Algorithms Image Interpretation, Computer-Assisted Prostatic Neoplasms Tissue Array Analysis
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Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.

IEEE transactions on medical imaging Feb 27, 2019
Multi-parametric MRI (mp-MRI) is considered the best non-invasive imaging modality for diagnosing prostate cancer (PCa). However, mp-MRI for PCa diagnosis is currently limited by the qualitative or semi-quantitative interpretation criteria, leading t...
Neural Networks, Computer Male Humans Prostatic Neoplasms Image Interpretation, Computer-Assisted Neoplasm Grading Multiparametric Magnetic Resonance Imaging Prostate
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Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.

Medical physics Feb 19, 2019
PURPOSE: Reliable automated segmentation of the prostate is indispensable for image-guided prostate interventions. However, the segmentation task is challenging due to inhomogeneous intensity distributions, variation in prostate anatomy, among other ...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Prostate Observer Variation Algorithms Male Imaging, Three-Dimensional Automation Humans Neural Networks, Computer
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Constrained-CNN losses for weakly supervised segmentation.

Medical image analysis Feb 13, 2019
Weakly-supervised learning based on, e.g., partially labelled images or image-tags, is currently attracting significant attention in CNN segmentation as it can mitigate the need for full and laborious pixel/voxel annotations. Enforcing high-order (gl...
Humans Imaging, Three-Dimensional Image Processing, Computer-Assisted Neural Networks, Computer Male Magnetic Resonance Imaging Magnetic Resonance Imaging, Cine Heart Ventricles Prostate Supervised Machine Learning Spine
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Development and clinical implementation of SeedNet: A sliding-window convolutional neural network for radioactive seed identification in MRI-assisted radiosurgery (MARS).

Magnetic resonance in medicine Feb 8, 2019
PURPOSE: To develop and evaluate a sliding-window convolutional neural network (CNN) for radioactive seed identification in MRI of the prostate after permanent implant brachytherapy.
Prostatic Neoplasms Prostate Brachytherapy Radiosurgery Magnetic Resonance Imaging, Interventional Retrospective Studies Male Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Detection of Extraprostatic Extension of Cancer on Biparametric MRI Combining Texture Analysis and Machine Learning: Preliminary Results.

Academic radiology Jan 14, 2019
RATIONALE AND OBJECTIVES: Extraprostatic extension of disease (EPE) has a major role in risk stratification of prostate cancer patients. Currently, pretreatment local staging is performed with MRI, while the gold standard is represented by histopatho...
Prostate Humans Prostatectomy Aged Bayes Theorem Male Magnetic Resonance Imaging Prostatic Neoplasms Neoplasm Invasiveness Machine Learning Middle Aged Neoplasm Staging Predictive Value of Tests Risk Assessment Algorithms Prognosis
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A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation.

Computer methods and programs in biomedicine Dec 29, 2018
BACKGROUND AND OBJECTIVE: Prostate segmentation on Magnetic Resonance (MR) imaging is problematic because disease changes the shape and boundaries of the gland and it can be difficult to separate the prostate from surrounding tissues. We propose an a...
Deep Learning Humans Prostate Neural Networks, Computer Magnetic Resonance Imaging Algorithms Male
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Learning deep similarity metric for 3D MR-TRUS image registration.

International journal of computer assisted radiology and surgery Oct 31, 2018
PURPOSE: The fusion of transrectal ultrasound (TRUS) and magnetic resonance (MR) images for guiding targeted prostate biopsy has significantly improved the biopsy yield of aggressive cancers. A key component of MR-TRUS fusion is image registration. H...
Image Processing, Computer-Assisted Deep Learning Humans Prostate Phantoms, Imaging Ultrasonography Imaging, Three-Dimensional Biopsy Neural Networks, Computer Male Magnetic Resonance Imaging Prostatic Neoplasms
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