AIMC Topic: Prostate

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Predicting Advanced Prostate Cancer from Modeling Early Indications in Biopsy and Prostatectomy Samples via Transductive Semi-Supervised Survival Analysis.

BioMed research international Oct 21, 2018
Prostate cancer is the most prevalent form of cancer and the second most common cause of cancer deaths among men in the United States. Accurate prognosis is important as it is the principal factor in determining the treatment plan. Prostate cancer is...
Prostate Biopsy Supervised Machine Learning Prostatectomy Male Humans Regression Analysis Algorithms Prostatic Neoplasms
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Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy.

IEEE transactions on medical imaging Oct 18, 2018
Image guidance improves tissue sampling during biopsy by allowing the physician to visualize the tip and trajectory of the biopsy needle relative to the target in MRI, CT, ultrasound, or other relevant imagery. This paper reports a system for fast au...
Magnetic Resonance Imaging Image-Guided Biopsy Prostatic Neoplasms Humans Neural Networks, Computer Prostate Algorithms Male
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Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images.

IEEE transactions on medical imaging Oct 12, 2018
Prostate cancer is the most common and second most deadly form of cancer in men in the United States. The classification of prostate cancers based on Gleason grading using histological images is important in risk assessment and treatment planning for...
Humans Prostate Image Interpretation, Computer-Assisted Neural Networks, Computer Histocytochemistry Male Prostatic Neoplasms Neoplasm Grading
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Editorial Comment to Predictors of biochemical recurrence after Retzius-sparing robot-assisted radical prostatectomy: Analysis of 359 cases with a median follow-up period of 26 months.

International journal of urology : official journal of the Japanese Urological Association Oct 12, 2018
Robotics Prostate Prostatectomy Humans Male Follow-Up Studies
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Feasibility of anatomical feature points for the estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy.

Radiological physics and technology Sep 28, 2018
This study aimed to investigate the feasibility of anatomical feature points for the estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy. The relationships between the reference centroids of prosta...
Radiotherapy Planning, Computer-Assisted Prostate Feasibility Studies Humans Machine Learning Tomography, X-Ray Computed Male Bayes Theorem Prostatic Neoplasms
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An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 3, 2018
Automated Gleason grading is an important preliminary step for quantitative histopathological feature extraction. Different from the traditional task of classifying small pre-selected homogeneous regions, semantic segmentation provides pixel-wise Gle...
Humans Algorithms Prostatic Neoplasms Prostate Supervised Machine Learning Male Deep Learning Image Processing, Computer-Assisted Prostatectomy
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Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.

IEEE transactions on medical imaging Aug 30, 2018
Accurate segmentation of pelvic organs (i.e., prostate, bladder, and rectum) from CT image is crucial for effective prostate cancer radiotherapy. However, it is a challenging task due to: 1) low soft tissue contrast in CT images and 2) large shape an...
Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Prostate Male Pelvis Humans Prostatic Neoplasms Neural Networks, Computer Algorithms
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Automatic polyp frame screening using patch based combined feature and dictionary learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 22, 2018
Polyps in the colon can potentially become malignant cancer tissues where early detection and removal lead to high survival rate. Certain types of polyps can be difficult to detect even for highly trained physicians. Inspired by aforementioned proble...
Algorithms Brain Male Support Vector Machine Magnetic Resonance Imaging Early Detection of Cancer Humans Prostate Machine Learning Image Interpretation, Computer-Assisted Urinary Bladder
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Automated Gleason grading of prostate cancer tissue microarrays via deep learning.

Scientific reports Aug 13, 2018
The Gleason grading system remains the most powerful prognostic predictor for patients with prostate cancer since the 1960s. Its application requires highly-trained pathologists, is tedious and yet suffers from limited inter-pathologist reproducibili...
Models, Biological Survival Analysis Tissue Array Analysis Prostate Feasibility Studies Male Humans Middle Aged Cohort Studies Prognosis Deep Learning Reproducibility of Results Prostatic Neoplasms Neoplasm Grading
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Re: Modified Frailty Index Associated with Clavien-Dindo IV Complications in Robot-Assisted Radical Prostatectomies: A Retrospective Study.

The Journal of urology Aug 8, 2018
Humans Retrospective Studies Male Robotics Frailty Prostate Prostatectomy
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