Visually interpretable deep network for diagnosis of breast masses on mammograms
Author:
Publisher
IOP Publishing
Subject
Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://iopscience.iop.org/article/10.1088/1361-6560/aaef0a/pdf
Reference44 articles.
1. Network Dissection: Quantifying Interpretability of Deep Visual Representations
2. Enriching Word Vectors with Subword Information
3. Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets
4. Classifier ensemble generation and selection with multiple feature representations for classification applications in computer-aided detection and diagnosis on mammography
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2. Reproducibility and Explainability of Deep Learning in Mammography: A Systematic Review of Literature;Indian Journal of Radiology and Imaging;2023-10-10
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