A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition.

Journal: Studies in health technology and informatics
Published Date:

Abstract

Advanced techniques in machine learning combined with scalable "cloud" computing infrastructure are driving the creation of new and innovative health diagnostic applications. We describe a service and application for performing image training and recognition, tailored to dermatology and melanoma identification. The system implements new machine learning approaches to provide a feedback-driven training loop. This training sequence enhances classification performance by incrementally retraining the classifier model from expert responses. To easily provide this application and associated web service to clinical practices, we also describe a scalable cloud infrastructure, deployable in public cloud infrastructure and private, on-premise systems.

Authors

  • Mani Abedini
    IBM Research - Australia, Carlton, VIC, Australia.
  • Stefan von Cavallar
    IBM Research - Australia, Carlton, VIC, Australia.
  • Rajib Chakravorty
    IBM Research - Australia, Carlton, VIC, Australia.
  • Matthew Davis
    IBM Research - Australia, Carlton, VIC, Australia.
  • Rahil Garnavi
    IBM Research-Australia, Melbourne, Australia.