Towards precision medicine: from quantitative imaging to radiomics
Author:
Publisher
Zhejiang University Press
Subject
General Pharmacology, Toxicology and Pharmaceutics,General Veterinary,General Biochemistry, Genetics and Molecular Biology,General Medicine
Link
http://link.springer.com/article/10.1631/jzus.B1700260/fulltext.html
Reference120 articles.
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2. Acharya UR, Fujita H, Sudarshan VK, et al., 2016b. An integrated index for identification of fatty liver disease using radon transform and discrete cosine transform features in ultrasound images. Inform Fusion, 31: 43–53. https://doi.org/10.1016/j.inffus.2015.12.007
3. Acharya UR, Chowriappa P, Fujita H, et al., 2016c. Thyroid lesion classification in 242 patient population using Gabor transform features from high resolution ultrasound images. Knowl-Based Syst, 107: 235–245. https://doi.org/10.1016/j.knosys.2016.06.010
4. Acharya UR, Ng WL, Rahmat K, et al., 2017. Data mining framework for breast lesion classification in shear wave ultrasound: a hybrid feature paradigm. Biomed Signal Proces, 33: 400–410. https://doi.org/10.1016/j.bspc.2016.11.004
5. Aerts HJWL, 2016. The potential of radiomic-based phenotyping in precision medicine: a review. JAMA Oncol, 2: 1636–1642. https://doi.org/10.1001/jamaoncol.2016.2631
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