![Urology image fusion](https://dev.rsipvision.com/wp-content/uploads/2021/02/Urology-image-fusion-1-768x428.jpg)
Image Analysis and Artificial Intelligence in Urology
Artificial intelligence (AI) and deep learning play an increasingly crucial role in medical imaging in general, and in the field of urology particularly. The applications of AI in urology are numerous, starting with accurate diagnosis (using image segmentation and abnormality detection), continuing with biopsy and operative procedures (using tools for assisted navigation and robotic guidance), and ending in treatment assessment (using tools similar to those used in diagnosis in order to assess the response to treatment).
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![Industrial intrusion detection](https://dev.rsipvision.com/wp-content/uploads/2018/11/Industrial-intrusion-detection.jpg)
Intrusion Detection with Deep Learning
Detecting physical and virtual intrusions is a key process in ensuring information and property security. Physical intrusion detection refers to all attempts at break-ins to
![3D models from depth cameras](https://dev.rsipvision.com/wp-content/uploads/2018/08/3D-models-from-depth-cameras.jpg)
RGB-D SLAM building 3D models from depth cameras
In the past few years, depth cameras became common and easy to get. Several product are available in the market at a reasonable price, e.g.
![Animals and objects tracking in videos](https://dev.rsipvision.com/wp-content/uploads/2013/11/Video-Tracking-RSIP-Vision1.jpg)
Object tracking in videos
Object tracking in videos is a classical computer vision problem. It consists of not only detecting the object in a scene but also recognizing the