AIMC Topic: Prostate

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Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network.

IEEE transactions on medical imaging
Automated methods for detecting clinically significant (CS) prostate cancer (PCa) in multi-parameter magnetic resonance images (mp-MRI) are of high demand. Existing methods typically employ several separate steps, each of which is optimized individua...

Robotics in urology.

Annals of the Royal College of Surgeons of England
Twenty years after it was introduced, robotic surgery has become more commonplace in urology – we examine its current uses and controversies

Online Robust Projective Dictionary Learning: Shape Modeling for MR-TRUS Registration.

IEEE transactions on medical imaging
Robust and effective shape prior modeling from a set of training data remains a challenging task, since the shape variation is complicated, and shape models should preserve local details as well as handle shape noises. To address these challenges, a ...

Robotics in MRI-Guided Interventions.

Topics in magnetic resonance imaging : TMRI
Robots have been found to be a useful tool in magnetic resonance imaging (MRI)-guided intervention. The utility of robots in MRI-guided therapy ranges from aid for precision targeting to high-dexterity surgical tools to improve or even enable new MRI...

MRI-based prostate cancer detection with high-level representation and hierarchical classification.

Medical physics
PURPOSE: Extracting the high-level feature representation by using deep neural networks for detection of prostate cancer, and then based on high-level feature representation constructing hierarchical classification to refine the detection results.