Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2011.6115751
Title: Automatic labeling and classification of brain CT images
Authors: Gong, T.
Li, S. 
Wang, J. 
Tan, C.L. 
Pang, B.C.
Lim, C.C.T.
Lee, C.K.
Tian, Q.
Zhang, Z.
Keywords: Biomedical image processing
biomedical informatics
object recognition
Issue Date: 2011
Source: Gong, T.,Li, S.,Wang, J.,Tan, C.L.,Pang, B.C.,Lim, C.C.T.,Lee, C.K.,Tian, Q.,Zhang, Z. (2011). Automatic labeling and classification of brain CT images. Proceedings - International Conference on Image Processing, ICIP : 1581-1584. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2011.6115751
Abstract: Automatic medical image classification is difficult because of the lacking of training data. As manual labeling is too costly, we provide an automatic labeling solution to this problem by making use of the radiology report associated with the medical images. We first segment and reconstruct the 3D regions of interest (ROIs) from the medical images, and extract pathology and anatomy information from the associated report. We use an anatomical atlas to map the ROIs to the anatomy part(s) and match the pathology information of the same anatomy part(s) from the text. In this way, the ROIs are automatically labeled with pathology types which can be served as class labels, and a training data set of a large number of training instances is generated automatically. We extract the volume, color, location, and shape features of the ROIs, and classify the types of ROIs using these features. The overall evaluation result is promising to doctors and medical professionals. Our experiment is conducted using traumatic brain injury CT images; however, our framework of automatically labeling and classifying medical cases can be extended to medical images in other modality or of other anatomical part. © 2011 IEEE.
Source Title: Proceedings - International Conference on Image Processing, ICIP
URI: http://scholarbank.nus.edu.sg/handle/10635/78034
ISBN: 9781457713033
ISSN: 15224880
DOI: 10.1109/ICIP.2011.6115751
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

5
checked on Feb 12, 2018

Page view(s)

35
checked on Feb 16, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.