Pathology-centric medical image retrieval with hierarchical contextual spatial descriptor

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

doi:10.1109/ISBI.2013.6556446

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 proceeding › Conference 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 language	English
Title of host publication	ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro
Pages	198-201
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2013.6556446
State	Published - Aug 22 2013
Externally published	Yes
Event	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States Duration: Apr 7 2013 → Apr 11 2013

Publication series

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

Conference

Conference	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Country	United States
City	San Francisco, CA
Period	04/7/13 → 04/11/13

Keywords

Retrieval
context
local
spatial
tumor

Access to Document

10.1109/ISBI.2013.6556446

Link to publication in Scopus

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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

@inproceedings{14dc18a3212146ee90d1eea520e8f765,

title = "Pathology-centric medical image retrieval with hierarchical contextual spatial descriptor",

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.",

keywords = "Retrieval, context, local, spatial, tumor",

author = "Yang Song and Weidong Cai and Yun Zhou and Lingfeng Wen and Feng, {David Dagan}",

year = "2013",

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doi = "10.1109/ISBI.2013.6556446",

language = "English",

isbn = "9781467364546",

series = "Proceedings - International Symposium on Biomedical Imaging",

pages = "198--201",

booktitle = "ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging",

note = "null ; Conference date: 07-04-2013 Through 11-04-2013",

}

Song, Y, Cai, W, Zhou, Y, Wen, L & Feng, DD 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., 6556446, Proceedings - International Symposium on Biomedical Imaging, pp. 198-201, 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, CA, United States, 04/7/13. https://doi.org/10.1109/ISBI.2013.6556446

Pathology-centric medical image retrieval with hierarchical contextual spatial descriptor. / Song, Yang; Cai, Weidong; Zhou, Yun; Wen, Lingfeng; Feng, David Dagan.

ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. 2013. p. 198-201 6556446 (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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