Image segmentation continues to represent a cornerstone of computer vision, underpinning applications from medical diagnostics to industrial automation. Contemporary techniques skilfully combine ...

Skoltech researchers led by Professor Dylov and their colleagues from First Pavlov State Medical University of St. Petersburg, Russia, have developed a brand-new approach to the task of 3D image ...

In a recent study published in Nature Methods, researchers assessed a novel method for bacterial cell segmentation named Omnipose. Breakthroughs in microscopy are extremely promising for enabling ...

Medical image segmentation is a fundamental component of many clinical applications such as computer-aided diagnosis, radiotherapy planning, and preoperative planning. Its accuracy and stability ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Prof. Ranger presented at the 2025 IEEE Engineering in Medicine and Biology Conference (EMBC), which was held in Copenhagen, Denmark. He presented a paper from our group entitled, "Improving ...