bioRxiv · 10.1101/121509
Multiple Kernel Learning Approach For Medical Image Analysis
Abstract
Computer aided diagnosis is gradually making its way into the domain of medical research and clinical diagnosis. With field of radiology and diagnostic imaging producing petabytes of image data. Machine learning tools, particularly kernel based algorithms seem to be an obvious choice to process and analyze this high dimensional and heterogeneous data. In this chapter, after presenting a breif description about nature of medical images, image features and basics in machine learning and kernel methods, we present the application of multiple kernel learning algorithms for medical image analysis.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Wani, N., Raza, K.. 2017-03-29. Multiple Kernel Learning Approach For Medical Image Analysis. https://doi.org/10.1101/121509
Cite the original work for its findings. Save a collection to share your selection of sources.