Page 82 - AIH-2-3
P. 82
Artificial Intelligence in Health CNN model for leukemia diagnosis
learning using Gompertz function for leukemia classification. Hyperparameter optimization of a convolutional neural
Biomed Signal Process Control. 2025;100:106925. network model for pipe burst location in water distribution
networks. J Imaging. 2023;9:68.
doi: 10.1016/j.bspc.2024.106925
doi: 10.3390/jimaging9030068
12. Loey M, Naman M, Zayed H. Deep transfer learning in
diagnosing leukemia in blood cells. Computers. 2020;9(2):29. 18. Rodrigues V, Deusdado S. Metalearning approach
for leukemia informative genes prioritization. J Integr
doi: 10.3390/computers9020029
Bioinformatics. 2020;17(1):20190069.
13. Damit DSA, Sulaiman SN, Osman MK, Karim NKA, doi: 10.1515/jib-2019-0069
Razali NF, Marzuki MIF. Navigating Tversky loss function
hyperparameter spaces using particle swarm optimization 19. Bai Y, Yang K, Yu W, Xu C, Zhao T, Ma WY. Automatic image
for myocardial scar segmentation. In: 2024 20 IEEE dataset construction from click-through logs using deep
th
International Colloquium on Signal Processing and Its neural network. In: Proceedings of ACM SIGIR Conference;
Applications (CSPA); 2024. p. 173-177. 2015. p. 333-342.
doi: 10.1109/CSPA60979.2024.10525595 doi: 10.1145/2733373.2806243
14. Kumar I, Rawat J. Segmentation and classification of white 20. Islam MM, Rifat HR, Shahid MSB, Akhter A, Uddin MA.
blood smear images using modified CNN architecture. Utilizing deep feature fusion for automatic leukemia
Discov Appl Sci. 2024;6:587. classification: An IoMT-enabled deep learning framework.
Sensors. 2024;24(13):4420.
doi: 10.1007/s42452-024-06139-y
doi: 10.3390/s24134420
15. Muhsen IN, Shyr D, Sung AD, Hashmi SK. Machine learning
applications in the diagnosis of benign and malignant 21. Sampathila N, Chadaga K, Goswami N, et al. Customized
hematological diseases. Clin Hematol Int. 2020;3(1):13-20. deep learning classifier for detection of acute lymphoblastic
leukemia using blood smear images. Healthcare (Basel).
doi: 10.2991/chi.k.201130.001 2022;10(10):1812.
16. Hehr M, Sadafi A, Matek C, et al. Explainable AI identifies doi: 10.3390/healthcare10101812
diagnostic cells of genetic AML subtypes. PLOS Digital 22. Gupta R, Gehlot S, Gupta A. (C-NMC): B-lineage acute
Health. 2023;2(3):e0000187.
lymphoblastic leukaemia: A blood cancer dataset. Med Eng
doi: 10.1371/journal.pdig.0000187 Phys. 2022;103:103793.
17. Antunes A, Ferreira B, Marques N, Carriço N. doi: 10.1016/j.medengphy.2022.103793
Volume 2 Issue 3 (2025) 76 doi: 10.36922/aih.4710

