29 Computer Vision News ImFusion has crafted a software framework encompassing accelerated platform-independent libraries, front-end labeling tools, and domain-specific plugins to help medical device companies transform cutting-edge research into innovative, minimally invasive surgical solutions that rely heavily on medical image computing. Its commitment to not reinventing the wheel sets it apart from its competitors. “We don’t have to advertise much,” Wolfgang begins. “There are more and more requests for what we do, which means the need is there. We’re very advanced in medical imaging and guided surgery.” The team was initially composed primarily of engineers and PhD experts in the field; now, it has product managers and a back-office operations team. A unique blend of academic innovation, advanced software engineering, highperformance computing, and efficient numerics is at its core. Its software development kit (SDK) reflects this, offering customers a product-grade experience and streamlining the development process. All this innovation is not without its challenges, but Wolfgang tells us the company’s adaptability and foresight have allowed it to navigate any hurdles successfully. While its core framework remains robust, ImFusion constantly monitors trends within different technology groups. “There’s global competition, and the environment is very fast-paced,” he points out. “First and foremost, in machine learning, we must be very selective about what we implement ourselves and where we rely on large frameworks that the global community has adopted. Many years ago, we implemented our own random forest framework that performed better than the one available through OpenCV and others. Now, we’ve removed it from our build because of superior technology.” Another shift he has observed is the development community’s growing preference for Python over C++. ImFusion
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