Sökning: "Joel Ekelund"

Hittade 1 uppsats innehållade orden Joel Ekelund.

  1. 1. Rotational Invariant Convolutional Neural Networks for Prostate Cancer Classification

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Joel Ekelund; [2017]
    Nyckelord :Convolutional Neural Networks; rotation invariance; deep learning; automated Gleason grading; Mathematics and Statistics;

    Sammanfattning : Prostate cancer was in 2012 the second most common type of cancer for males globally. To be able to treat prostate cancer in the most effective way it is important to know how aggressive the cancer is. This aggressiveness is graded using the Gleason score. LÄS MER