has been cited by the following article(s):
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[1]
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Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers
eBioMedicine,
2023
DOI:10.1016/j.ebiom.2023.104706
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[2]
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Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers
eBioMedicine,
2023
DOI:10.1016/j.ebiom.2023.104706
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[3]
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Effect of a Deep Learning Framework-Based Computer-Aided Diagnosis System on the Diagnostic Performance of Radiologists in Differentiating between Malignant and Benign Masses on Breast Ultrasonography
Korean Journal of Radiology,
2019
DOI:10.3348/kjr.2018.0530
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[4]
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Medical Imaging
2017
DOI:10.4018/978-1-5225-0571-6.ch064
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[5]
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EMD-DWT based transform domain feature reduction approach for quantitative multi-class classification of breast lesions
Ultrasonics,
2017
DOI:10.1016/j.ultras.2017.04.006
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[6]
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Improving Health Management through Clinical Decision Support Systems
Advances in Healthcare Information Systems and Administration,
2016
DOI:10.4018/978-1-4666-9432-3.ch001
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