Pathology-centric medical image retrieval with hierarchical contextual spatial descriptor

Yang Song, Weidong Cai, Yun Zhou, Lingfeng Wen, David Dagan Feng

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

12 Scopus citations

Abstract

Content-based image retrieval has been suggested as an aid to medical diagnosis. Techniques based on standard feature descriptors, however, might not represent optimally the pathological characteristics in medical images. In this paper, we propose a new approach for medical image retrieval based on pathology-centric feature extraction and representation; and patch-based local feature extraction and hierarchical contextual spatial descriptor are designed. The proposed method is evaluated on positron emission tomography - computed tomography (PET-CT) images from subjects with non-small cell lung cancer (NSCLC), showing promising performance improvements over the other benchmarked techniques.

Original languageEnglish
Title of host publicationISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro
Pages198-201
Number of pages4
DOIs
StatePublished - Aug 22 2013
Externally publishedYes
Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
Duration: Apr 7 2013Apr 11 2013

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
CountryUnited States
CitySan Francisco, CA
Period04/7/1304/11/13

Keywords

  • Retrieval
  • context
  • local
  • spatial
  • tumor

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  • Cite this

    Song, Y., Cai, W., Zhou, Y., Wen, L., & Feng, D. D. (2013). Pathology-centric medical image retrieval with hierarchical contextual spatial descriptor. In ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro (pp. 198-201). [6556446] (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2013.6556446