AIMC Topic: Prostate
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Deep learning of diffraction image patterns for accurate classification of five cell types.
Journal of biophotonics
Dec 23, 2019
Development of label-free methods for accurate classification of cells with high throughput can yield powerful tools for biological research and clinical applications. We have developed a deep neural network of DINet for extracting features from cros...
An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images.
IEEE journal of biomedical and health informatics
Dec 16, 2019
Segmentation of prostate in medical imaging data (e.g., CT, MRI, TRUS) is often considered as a critical yet challenging task for radiotherapy treatment. It is relatively easier to segment prostate from MR images than from CT images, due to better so...
Comparison of Initial Experience with Transrectal Magnetic Resonance Imaging Cognitive Guided Micro-Ultrasound Biopsies versus Established Transperineal Robotic Ultrasound Magnetic Resonance Imaging Fusion Biopsies for Prostate Cancer.
The Journal of urology
Dec 10, 2019
PURPOSE: We compared cancer detection rates in patients who underwent magnetic resonance imaging cognitive guided micro-ultrasound biopsy vs robotic ultrasound magnetic resonance imaging fusion biopsy for prostate cancer.
CT prostate segmentation based on synthetic MRI-aided deep attention fully convolution network.
Medical physics
Dec 3, 2019
PURPOSE: Accurate segmentation of the prostate on computed tomography (CT) for treatment planning is challenging due to CT's poor soft tissue contrast. Magnetic resonance imaging (MRI) has been used to aid prostate delineation, but its final accuracy...
Development of a Deep Learning Algorithm for the Histopathologic Diagnosis and Gleason Grading of Prostate Cancer Biopsies: A Pilot Study.
European urology focus
Nov 22, 2019
BACKGROUND: The pathologic diagnosis and Gleason grading of prostate cancer are time-consuming, error-prone, and subject to interobserver variability. Machine learning offers opportunities to improve the diagnosis, risk stratification, and prognostic...
Re: Retzius-Sparing versus Standard Robot-Assisted Radical Prostatectomy: A Prospective Randomized Comparison on Immediate Continence Rates.
The Journal of urology
Nov 4, 2019
Optimizing robot motion for robotic ultrasound-guided radiation therapy.
Physics in medicine and biology
Oct 4, 2019
An important aspect of robotic radiation therapy is active compensation of target motion. Recently, ultrasound has been proposed to obtain real-time volumetric images of abdominal organ motion. One approach to realize flexible probe placement through...
Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images-Role of Multiscale Decision Aggregation and Data Augmentation.
IEEE journal of biomedical and health informatics
Sep 30, 2019
Visual inspection of histopathology images of stained biopsy tissue by expert pathologists is the standard method for grading of prostate cancer (PCa). However, this process is time-consuming and subject to high inter-observer variability. Machine le...
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