GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision

23 Jul 2019Angelica I. Aviles-RiveroNicolas PapadakisRuoteng LiPhilip SellarsQingnan FanRobby T. TanCarola-Bibiane Schönlieb

The task of classifying X-ray data is a problem of both theoretical and clinical interest. Whilst supervised deep learning methods rely upon huge amounts of labelled data, the critical problem of achieving a good classification accuracy when an extremely small amount of labelled data is available has yet to be tackled... (read more)

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