Laser & Optoelectronics Progress, Volume. 57, Issue 6, 060003(2020)
Research Progress on Content-Based Medical Image Retrieval
Figures & Tables(6)
Table 1. Representative methods of image feature extraction and their development stages
View tableTable 1. Representative methods of image feature extraction and their development stages
Time Representative method Category 1996 Methods featured by color[ 4 ],edge[5 ], and texture[6 ]Hand-craft global features 2001 Method featured by GIST (generalized search trees)[ 7 ]2003 BoW (bag of word)[ 8 ]2004 Method featured by SIFT (scale-invariant feature transform)[ 9 ]2005 Method featured by HOG (histogram of oriented gradients)[ 10 ]2006 SURF (speeded up robust features)[ 11 ],LBP (local binary pattern)[ 12 ]Hand-craft local features 2007 FV (fisher vector)[ 13 ]2012 VLAD (vector of locally aggregated descriptor)[ 14 ]2014 Triangulation embedding[ 15 ]2014 Neural code[ 16 ]Deep global features 2014 MOP-CNN (multiscale orderless pooling-convolutional neural network)[ 17 ]2015 SPoC (sum-pooled convolutional features)[ 18 ]2016 R-MAC (regional maximum activation of convolutions)[ 19 ],CroW (cross weight aggregation code)[ 20 ]Deep local features 2017 Class weighted[ 21 ]2018 PWA (progressive web app)[ 22 ]
Table 2. Classification of depth feature extraction methods
View tableTable 2. Classification of depth feature extraction methods
Type Common model Convolutional neural network, Supervised deep network deep stacking network, deep-structured conditional random fields Unsupervised deep network Auto encoders, restricted Boltzmann machines, sparse coding, K-means Semi-supervised deep network Pre-trained deep neural networks
Table 3. Common CBMIR systems
View tableTable 3. Common CBMIR systems
System name Application object Feature extraction Similarity measure Related feedback ASSERT[ 75 ]CT image of lung Labeled area feature Based on classification × NHANES III[ 76 ]Spinal X-ray image Contour shape Contour matching × MRIAGE[ 77 ]MRI image of brain 3D Texture Histogram × FICBDS[ 78 ]Functional PET Physiological information Vector distance × IRMA[ 79 ]Integrated medical imaging Multiple feature description Multiple ranging metric √ VisMed [ 80 ]Integrated medical imaging Visual word Word matching × medGIFT[ 81 ]Integrated medical imaging Text and visual features Multimodal information sorting fusion × NovaMedSearech[ 82 ]Integrated medical imaging Text and visual features Multimodal information sorting fusion √ iMedline[ 83 ]Clinical case Text and visual features Linear weighting of multiple features √
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Feng Yang, Guohui Wei, Hui Cao, Mengmeng Xing, Jing Liu, Junzhong Zhang. Research Progress on Content-Based Medical Image Retrieval[J]. Laser & Optoelectronics Progress, 2020, 57(6): 060003
Paper Information
Category: Reviews
Received: Aug. 2, 2019
Accepted: Aug. 22, 2019
Published Online: Mar. 6, 2020
The Author Email: Cao Hui (caohui63@163.com)
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