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All issues Volume 60 (2024) ITM Web Conf., 60 (2024) 00004 References
Open Access
Issue
ITM Web Conf.
Volume 60, 2024
2023 5th International Conference on Advanced Information Science and System (AISS 2023)
Article Number 00004
Number of page(s) 6
DOI https://doi.org/10.1051/itmconf/20246000004
Published online 09 January 2024
  1. Key Statistics for ALL [Online], available at: https://www.cancer.org/cancer/types/acute-lymphocytic-leukemia/about/key-statistics.html (last accessed on 07/30/2023). [Google Scholar]
  2. Cancer Stat Facts: ALL. [Online], available at: https://seer.cancer.gov/statfacts/html/alyl.html (last accessed on 07/30/2023). [Google Scholar]
  3. SEER program [Online], available at: https://seer.cancer.gov/ (last accessed on 07/30/2023). [Google Scholar]
  4. Nerella, Subhash, et al. “Transformers in Healthcare: A Survey.” arXiv preprint arXiv:2307.00067 (2023). [Google Scholar]
  5. Balabin, H. (2022). Multimodal Transformers for Biomedical Text and Knowledge Graph Data. [Google Scholar]
  6. Thirunavukarasu, A.J., et al. Large language models in medicine. Nat Med (2023). https://doi.org/10.1038/s41591-023-02448-8. [Google Scholar]
  7. Holmes, J., Liu, Z., et al. (2023). Evaluating large language models on a highly specialized topic, radiation oncology physics. arXiv preprint arXiv:2304.01938. [Google Scholar]
  8. Wang, D. Q., Feng, et al. (2023). Accelerating the integration of ChatGPT and other large‐scale AI models into biomedical research and healthcare. MedComm–Future Medicine, 2(2), e43. [Google Scholar]
  9. Li, J., Dada, A., Kleesiek, J., & Egger, J. (2023). ChatGPT in Healthcare: A Taxonomy and Systematic Review. medRxiv, 2023-03. [Google Scholar]
  10. Batzoglou, S. Large Language Models in Molecular Biology Deciphering the language of biology, from DNA to cells to human health. [Online], available at: https://towardsdatascience.com/large-languagemodels-in-molecular-biology-9eb6b65d8a30 (last accessed on 07/30/2023). [Google Scholar]
  11. M. Aria, et al. ALL image dataset.” Kaggle, (2021). DOI: 10.34740/KAGGLE/DSV/2175623. [Google Scholar]
  12. Zhuofan Xia, et al. (2022) Vision Transformer with Deformable Attention, https://doi.org/10.48550/arXiv.2201.00520. [Google Scholar]
  13. Swin transformer repo [Online], available at: https://github.com/microsoft/Swin-Transformer (last accessed on 07/30/2023). [Google Scholar]
  14. M. Xu, K. Huang et al. “Multi-Task Learning with Context-Oriented Self-Attention for Breast Ultrasound Image Classification and Segmentation, doi: 10.1109/ISBI52829.2022.9761685. [Google Scholar]
  15. K. Huang et al. “Shape-Adaptive Convolutional Operator for Breast Ultrasound Image Segmentation, ” 2021 IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, 2021, pp. 1-6, doi: 10.1109/ICME51207.2021.9428287. [Google Scholar]
  16. Jenny Li, et al. (2021). Evaluating Deep Learning Biases Based on Grey-Box Testing Results. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1250. Springer, Cham, DOI=https://doi.org/10.1007/978-3-030-551803_48. [Google Scholar]
  17. Tellez, N., Serra, J., Kumar Y., et al. (2023). Gauging Biases in Various Deep Learning AI Models. IntelliSys 2022. Lecture Notes in Networks and Systems, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-031-16075-2_11. [Google Scholar]
  18. N. Tellez et al., “An Assure AI Bot (AAAI bot), ” ISNCC, Shenzhen, China, 2022, pp. 1-5, doi: 10.1109/ISNCC55209.2022.9851759. [Google Scholar]
  19. Kumar Y, et al. A Testing Framework for AI Linguistic Systems (testFAILS). Electronics. 2023; 12(14):3095. https://doi.org/10.3390/electronics12143095. [Google Scholar]
  20. Pre-trained Faster R-CNN (Region-based Convolutional Neural Network) code, provided by ChatGPT-4 code interpreter [Online], available at: https://colab.research.google.com/drive/1DcdStVxRzLzkCJ9d8eMVRRfTjSSfadH?usp=sharing (last accessed on 7/31/2023). [Google Scholar]
  21. Y. Kumar, et al. (2023) AssureAIDoctorA BiasFree AI Bot. In proceeding of the 2023 International Symposium on Networks, Computers and Communications (ISNCC): Artificial Intelligence and Machine Learning. (ISNCC 2023) [Google Scholar]
  22. Chat with ChatGPT-4-Turbo [Online], available at: https://chat.openai.com/share/4cfc5124-910b49df-9e91-ad5e98fd91f6 (last accessed on 7/31/2023). [Google Scholar]
  23. Selvaraju, Ramprasaath R. et al. “Grad-cam: Visual explanations from deep networks via gradient-based localization.” In Proceedings of the IEEE international conference on computer vision, pp. 618-626. 2017. [Google Scholar]

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