Library Dissertation Showcase

Lovelace: using deep learning to predict the presence of intracranial haemorrhages from computed typography scans

  • Year of Publication:
  • 2020

In recent years, machine learning has become an integral part of most human’s everyday life. Deep learning, a class of machine learning, is able to outperform standard machine learning algorithms. Deep neural networks are often seen as state-of-the-art machine learning models across a wide variety of areas (image recognition, advertising, language processing, etc) and is becoming widely deployed across academia and industry. This project, Lovelace, explores the use of deep learning in medical imaging, specifically using deep convoluted neural networks in the classification and detection of brain haemorrhages from computed typography scans.

PLEASE NOTE: You must be a member of the University of Lincoln to be able to view this dissertation. Please log in here.