Improving Breast Cancer Detection Using Symmetry Information with Deep Learning
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Yeman et al.'s parallel deep CNN for bilateral breast X-ray images achieved a prediction accuracy rate of 93.33%.
“The concatenated deep features from this twin-CNN setup were introduced into a Neural Network (NN) classifier, which achieved a remarkable prediction accuracy rate of 93.33%.”
From A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis (2024) · cites this paper as [96]
Yeman et al. [96] achieved accuracies of 94.50%, 95.83%, and 97.50% for three models on DDSM and INbreast.
“| Yeman et al. [96] | Breast lesion detection from entire mammograms by object detection model | X-ray | DDSM and INbreast | ACC of three models: 94.50%, 95.83%, and 97.50% |”
From A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis (2024) · cites this paper as [96]
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- Authors
- Brhane Hagos, Y., Gubern Mérida, A., & Teuwen, J.
- Affiliations
- Radboud University Medical Center (NL)
- ORCID
- Teuwen, Jonas
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2018
- Pages
- 90-97
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2888567579
- Cited by
- 27
- References
- 15
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 5 · 2022: 4 · 2021: 7 · 2020: 6 · 2019: 1
- FWCI
- 1.42
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Digital Radiography and Breast Imaging
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Keywords
- breast cancer detection, mammography, computer-aided detection, breast mass detection, temporal data
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