Classification of benign and malignant tumors in Digital Breast Tomosynthesis images using Radiomic-based methods
Author:
Affiliation:
1. Islamic Azad University,Faculty of Medical Sciences and Technologies Science and Research Branch,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10326217/10326219/10326283.pdf?arnumber=10326283
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1. Computational Radiomics System to Decode the Radiographic Phenotype
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4. A Comparative Study of Radiomics and Deep-Learning Based Methods for Pulmonary Nodule Malignancy Prediction in Low Dose CT Images
5. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
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1. Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors;Machine Learning and Knowledge Extraction;2024-03-11
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