Automatic classification and retrieval of brain hemorrhages

Hau Lee Tong*, Mohammad Faizal Ahmad Fauzi, Su Cheng Haw, Hu Ng, Timothy Tzen Vun Yap

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


In this work, Computed Tomography (CT) brain images are adopted for the annotation of different types of hemorrhages. The ultimate objective is to devise the semantics-based retrieval system for retrieving the images based on the different keywords. The adopted keywords are hemorrhagic slices, intraaxial, subdural and extradural slices. The proposed approach is consisted of three separated annotation processes are proposed which are annotation of hemorrhagic slices, annotation of intra-axial and annotation of subdural and extradural. The dataset with 519 CT images is obtained from two collaborating hospitals. For the classification, support vector machine (SVM) with radial basis function (RBF) kernel is considered. On overall, the classification results from each experiment achieved precision and recall of more than 79%. After the classification, the images will be annotated with the classified keywords together with the obtained decision values. During the retrieval, the relevant images will be retrieved and ranked correspondingly according to the decision values.

Original languageEnglish
Title of host publicationComputational Science and Technology
EditorsRayner Alfred, Ag Asri Ag Ibrahim, Yuto Lim, Patricia Anthony
Number of pages11
ISBN (Electronic)9789811326226
ISBN (Print)9789811326219
Publication statusPublished - 2019
Event5th International Conference on Computational Science and Technology 2018 - Kota Kinabalu, Malaysia
Duration: 29 Aug 201830 Aug 2018

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Conference5th International Conference on Computational Science and Technology 2018
Abbreviated titleICCST 2018
CityKota Kinabalu


  • Brain hemorrhages
  • Image classification
  • Image retrieval

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering


Dive into the research topics of 'Automatic classification and retrieval of brain hemorrhages'. Together they form a unique fingerprint.

Cite this