Can new image processing methods deliver reproducible radiomics?

In conclusion, we standardized eight types of convolutional filters for radiomics to ensure that the enhanced clinical insights that can be gained through their use can be validated and reproduced,” the authors wrote. “Going forward, developers should ensure compliance of their software with the proposed reference standards, and users are encouraged to use compliant software.” The group has also posted a web-based tool to assist in checking compliance with these reference standards. In the next phase of their work, the researchers are now working on standardizing image processing systems commonly used in deep-learning algorithms. Their full research article can be found here. “[Apart] from working toward narrowing the translation gap between research and clinical use, the authors’ efforts toward standardization and reproducibility of convolutional filters also partially prevents wasted efforts in research,” wrote Merel Huisman, MD, of Radboud University Medical Center in Nijmegen, Netherlands, and Tugba Akinci D’Antonoli, MD, of the University of Basel in Switzerland, in an accompanying editorial. “Transparency and a diverse, interdisciplinary collaboration among researchers, vendors, and clinicians are the other major pillars in which we as a society need to invest to make an impact on patient care.”
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Image Processing Source Type: news