Title | ||
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Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma |
Abstract | ||
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In this study, we evaluate and compare the diagnostic performance of ultrasound for non-invasive axillary lymph node (ALN) metastasis detection. The study was based on fusing shear wave elastography (SWE) and B-mode ultrasonography (USG) images. These images were subjected to pre-processing and feature extraction, based on bi-dimensional empirical mode decomposition and higher order spectra methods. The resulting nonlinear features were ranked according to their p-value, which was established with Student's t-test. The ranked features were used to train and test six classification algorithms with 10-fold cross-validation. Initially, we considered B-mode USG images in isolation. A probabilistic neural network (PNN) classifier was able to discriminate positive from negative cases with an accuracy of 74.77% using 15 features. Subsequently, only SWE images were used and as before, the PNN classifier delivered the best result with an accuracy of 87.85% based on 47 features. Finally, we combined SWE and B-mode USG images. Again, the PNN classifier delivered the best result with an accuracy of 89.72% based on 71 features. These three tests indicate that SWE images contain more diagnostically relevant information when compared with B-mode USG. Furthermore, there is scope in fusing SWE and B-mode USG to improve non-invasive ALN metastasis detection. |
Year | DOI | Venue |
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2022 | 10.1111/exsy.12947 | EXPERT SYSTEMS |
Keywords | DocType | Volume |
axillary lymph node, cancer detection, higher order spectra, machine learning, shear wave elastography, ultrasound | Journal | 39 |
Issue | ISSN | Citations |
5 | 0266-4720 | 0 |
PageRank | References | Authors |
0.34 | 0 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
The-Hanh Pham | 1 | 0 | 0.34 |
Oliver Faust | 2 | 2 | 1.39 |
Joel En Wei Koh | 3 | 0 | 0.34 |
Edward J. Ciaccio | 4 | 165 | 30.79 |
Prabal D. Barua | 5 | 0 | 0.34 |
Norlia Omar | 6 | 0 | 0.34 |
Wei Lin Ng | 7 | 0 | 0.34 |
Nazimah Ab Mumin | 8 | 0 | 0.34 |
Kartini Rahmat | 9 | 0 | 0.34 |
Rajendra Acharya U | 10 | 4666 | 296.34 |