A Data Augmentation Approach to Enhance Breast Cancer Segmentation
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1335-6_14
Reference20 articles.
1. Agrawal, T., Choudhary, P.: Segmentation and classification on chest radiography: a systematic survey. Vis. Comput. 39(3), 875–913 (2023)
2. Al-Dhabyani, W., Gomaa, M., Khaled, H., Aly, F.: Deep learning approaches for data augmentation and classification of breast masses using ultrasound images. Int. J. Adv. Comput. Sci. Appl. 10(5), 1–11 (2019)
3. Alblwi, A., Baksh, M., Barner, K.E.: Bone age assessment based on salient object segmentation. In: 2021 IEEE International Conference on Imaging Systems and Techniques (IST), pp. 1–5. IEEE (2021)
4. Alblwi, A., Barner, K.E.: Optimizing feature representation via a nested network for object segmentation. In: 2022 8th International Conference on Optimization and Applications (ICOA), pp. 1–6. IEEE (2022)
5. Alblwi, A., Barner, K.E.: Ultrasound image segmentation via multi-scale salient network (2024), under submission
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