Data Augmentation Techniques Evaluation on Ultrasound Images for Breast Tumor Segmentation Tasks-Reference-Cited by-同舟云学术

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Data Augmentation Techniques Evaluation on Ultrasound Images for Breast Tumor Segmentation Tasks

Published:2023 Issue: Volume: Page:153-164
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:
Short-container-title:

Author:

Vo Trang Minh,Vo Thien Thanh,Phan Tan Tai,Nguyen Hai Thanh,Tran Dien Thanh

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-29447-1_14

Reference20 articles.

1. V.K. Singh, H.A. Rashwan, S. Romani, F. Akram, N. Pandey, M.M.K. Sarker, A. Saleh, M. Arenas, M. Arquez, D. Puig, J. Torrents-Barrena, Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network. Exp. Syst. Appl. 139, 112855 (2020). https://doi.org/10.1016/j.eswa.2019.112855

2. T. Nemoto, N. Futakami, E. Kunieda, M. Yagi, A. Takeda, T. Akiba, E. Mutu, N. Shigematsu, Effects of sample size and data augmentation on u-net-based automatic segmentation of various organs. Radiol. Phys. Technol. 14(3), 318–327 (2021). https://doi.org/10.1007/s12194-021-00630-6

3. N. Cinar, A. Ozcan, M. Kaya, A hybrid DenseNet121-UNet model for brain tumor segmentation from MR images. Biomed. Signal Process. Control 76, 103647 (2022). https://doi.org/10.1016%2Fj.bspc.2022.103647

4. R. Arnaout, L. Curran, Y. Zhao, J.C. Levine, E. Chinn, A.J. Moon-Grady, An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease. Nat. Med. 27(5), 882–891 (2021). https://doi.org/10.1038%2Fs41591-021-01342-5

5. E. Michael, H. Ma, S. Qi, Breast tumor segmentation in ultrasound images based on u-NET model, in Advances in Intelligent Systems and Computing (Springer International Publishing, 2022), pp. 22–31. https://doi.org/10.1007/978-3-031-14054-9_3

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of Congenital Heart Defects in Ultrasound Images using U-Net Segmentation;2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI);2023-12-29

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