A parallel framework for HCC detection in DCE-MRI sequences with wavelet-based description and SVM classification-Reference-Cited by-同舟云学术

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A parallel framework for HCC detection in DCE-MRI sequences with wavelet-based description and SVM classification

Published:2018-04-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 33rd Annual ACM Symposium on Applied Computing
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Author:

Pavan Ana L. M.¹,Benabdallah Marwa²,Lebre Marie-Ange³,de Pina Diana Rodrigues⁴,Jaziri Faouzi⁵,Vacavant Antoine⁵,Mtibaa Achraf²,Ali Hawa Mohamed⁵,Grand-Brochier Manuel⁵,Rositi Hugo⁵,Magnin Benoît⁶,Abergel Armand⁶,Chabrot Pascal⁶

Affiliation:

1. São Paulo State University, São Paulo, Brazil

2. Mir@cl Laboratory, Sfax, Tunisia

3. Université Clermont Auvergne, Clermont-Ferrand, France

4. Department of Physics & Biophysics, Botucatu, São Paulo, Brazil

5. Institut Pascal, Clermont-Ferrand, France

6. Institut Pascal / CHU, Clermont-Ferrand, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3167132.3167167

Reference27 articles.

1. Classification of hepatic lesions using the matching metric

2. A New Statistical-Based Kurtosis Wavelet Energy Feature for Texture Recognition of SAR Images

3. A New Method Based on Adaptive Discrete Wavelet Entropy Energy and Neural Network Classifier (ADWEENN) for Recognition of Urine Cells from Microscopic Images Independent of Rotation and Scaling

4. Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network

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