The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Breast mass classification via deeply integrating the contextual information from multi-view data
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X. Wang et al. (2018) showed a saliency map of the chest with multiple regions corresponding to different radiological findings.
“They showed a saliency map of the chest with multiple regions corresponding to different radiological findings.”
From Explainable artificial intelligence (XAI) in deep learning-based medical image analysis (2022) · cites this paper as X. Wang et al. (2018)
X. Wang et al. (2018) showed in a chest X-ray example that different parts of the textual explanation led to different areas of saliency mapping in the image.
“X. Wang et al. (2018) used a similar approach, and showed in their chest X-ray example that different parts of the textual explanation led to different areas of saliency mapping in the image.”
From Explainable artificial intelligence (XAI) in deep learning-based medical image analysis (2022) · cites this paper as X. Wang et al. (2018)
Citations
Cites
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Cited by
Sorted by citations
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
van der Velden, B. H. M., Kuijf, H. J., Gilhuijs, K. G. A., & Viergever, M. A. (2022) · Medical Image Analysis · doi:10.1016/j.media.2022.102470 · Cited by 1,328
Metadata
- Authors
- Wang, H., Feng, J., Zhang, Z., Su, H., Cui, L., He, H., & Liu, L.
- Affiliations
- Northwest University (CN)
- University of Florida (US)
- Shaanxi Provincial People's Hospital (CN)
- Corresponding author
- Feng, Jun
- Liu, Li
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 80
- Pages
- 42-52
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2793701907
- Cited by
- 68
- References
- 3
- Citations by year
- 2025: 1 · 2024: 12 · 2023: 7 · 2022: 11 · 2021: 12 · 2020: 9 · 2019: 14 · 2018: 2
- FWCI
- 5.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pattern Recognition (publishedVersion)
- Funders
- National Natural Science Foundation of China (61701404, 81671648, 81727802)
- Northwest University (YZZ15095)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Digital Radiography and Breast Imaging
- Keywords
- breast mass classification, mammography, benign vs malignant tumors, multi-view data, attention mechanism, recurrent neural networks, clinical data integration, interpretability
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