PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

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• Huang, R., Feng, W., Fan, M., Wan, L., & Sun, J. (2018). Multiscale blur detection by learning discriminative deep features. Neurocomputing, 285, 154-166. https://doi.org/10.1016/j.neucom.2018.01.041

• Jain, P. A., & Kosamkar, P. K. (2022). Analysis and prediction of COVID-19 with image super-resolution using CNN and SRCNN-Based approach. In T. Senjyu, P. N. Mahalle, T. Perumal & A. Joshi (Eds.), Smart Innovation, Systems and Technologies: Vol. 248. ICT with Intelligent Applications (pp. 33-40). Springer. https://doi.org/10.1007/978-981-16-4177-0_5

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• Loey, M., Naman, M., & Zayed, H. (2020). Deep transfer learning in diagnosing leukemia in blood cells. Computers, 9(2), Article 29. https://doi.org/10.3390/computers9020029

• Mariam, K., Afzal, O. M., Hussain, W., Javed, M. U., Kiyani, A., Rajpoot, N., Khurram, S. A., & Khan, H. A. (2022). On smart gaze based annotation of histopathology images for training of deep convolutional neural networks. IEEE Journal of Biomedical and Health Informatics, 26(7), 3025-3036. https://doi.org/10.1109/JBHI.2022.3148944

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• Tavares, R. S., Nonino, A., Pagnano, K. B. B., Nascimento, A. C. K. V. d, Conchon, M., Fogliatto, L. M., Funke, V. A. M., Bendit, I., Clementino, N. C. D., Chauffaille, M. d. L. L. F., Bernardo, W. M., & de Souza Santos, F. P. (2019). Guideline on myeloproliferative neoplasms: Associacão Brasileira de Hematologia, Hemoterapia e Terapia Cellular: Project guidelines: Associação Médica Brasileira - 2019. Hematology, Transfusion and Cell Therapy, 41(Supplement 1), 1-73. https://doi.org/10.1016/j.htct.2019.03.001

• Umehara, K., Ota, J., & Ishida, T. (2018). Application of super-resolution convolutional neural network for enhancing image resolution in chest CT. Journal of Digital Imaging, 31, 441-450. https://doi.org/10.1007/s10278-017-0033-z

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• Vasudevan, S., Saha, A., Tarver, M. E., & Patel, B. (2022). Digital biomarkers: Convergence of digital health technologies and biomarkers. Npj Digital Medicine, 5, Article 36. https://doi.org/10.1038/s41746-022-00583-z

• Zhang, H. M., & Dong, B. (2020). A review on deep learning in medical image reconstruction. Journal of the Operations Research Society of China, 8, 311-340. https://doi.org/10.1007/s40305-019-00287-4

• Zhang, J., Shao, M., Yu, L., & Li, Y. (2020). Image super-resolution reconstruction based on sparse representation and deep learning. Signal Processing: Image Communication, 87, Article 115925. https://doi.org/10.1016/j.image.2020.115925