Localization and classification of intracranialhemorrhages in CT data

09/07/2020
by   Jakub Nemcek, et al.
0

Intracranial hemorrhages (ICHs) are life-threatening brain injures with a relatively high incidence. In this paper, the automatic algorithm for the detection and classification of ICHs, including localization, is present. The set of binary convolutional neural network-based classifiers with a designed cascade-parallel architecture is used. This automatic system may lead to a distinct decrease in the diagnostic process's duration in acute cases. An average Jaccard coefficient of 53.7 available head CT dataset CQ500.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset