PMID- 27831894
OWN - NLM
STAT- MEDLINE
DCOM- 20180108
LR  - 20180227
IS  - 2168-2208 (Electronic)
IS  - 2168-2194 (Linking)
VI  - 21
IP  - 5
DP  - 2017 Sep
TI  - Medical Image Retrieval via Histogram of Compressed Scattering Coefficients.
PG  - 1338-1346
LID - 10.1109/JBHI.2016.2623840 [doi]
AB  - The features used in many current medical image retrieval systems are usually 
      low-level hand-crafted features. This limitation may adversely affect the 
      retrieval performance. To address this problem, this paper proposes a simple yet 
      discriminative feature, called histogram of compressed scattering coefficients 
      (HCSC), for medical image retrieval. In the proposed work, the scattering 
      transform, a particular variation of deep convolutional networks, is first 
      performed to yield more abstract representations of a medical image. A projection 
      operation is then conducted to compress the obtained scattering coefficients for 
      efficient processing. Finally, a bag-of-words (BoW) histogram is derived from the 
      compressed scattering coefficients as the features of the medical image. The 
      proposed HCSC takes the advantages of both scattering transform and BoW model. 
      Experiments on three benchmark medical computer tomography image databases 
      demonstrate that HCSC outperforms several state-of-the-art features.
FAU - Lan, Rushi
AU  - Lan R
FAU - Zhou, Yicong
AU  - Zhou Y
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20161101
PL  - United States
TA  - IEEE J Biomed Health Inform
JT  - IEEE journal of biomedical and health informatics
JID - 101604520
SB  - IM
MH  - Algorithms
MH  - Databases, Factual
MH  - Humans
MH  - Image Interpretation, Computer-Assisted/*methods
MH  - Image Processing, Computer-Assisted/*methods
MH  - Information Storage and Retrieval/*methods
MH  - Tomography, X-Ray Computed/*methods
EDAT- 2016/11/11 06:00
MHDA- 2018/01/09 06:00
CRDT- 2016/11/11 06:00
PHST- 2016/11/11 06:00 [pubmed]
PHST- 2018/01/09 06:00 [medline]
PHST- 2016/11/11 06:00 [entrez]
AID - 10.1109/JBHI.2016.2623840 [doi]
PST - ppublish
SO  - IEEE J Biomed Health Inform. 2017 Sep;21(5):1338-1346. doi: 
      10.1109/JBHI.2016.2623840. Epub 2016 Nov 1.