KILIÇ Ş, 2026. Attention-Based Dual-Path Deep Learning for Blood Cell Image Classification Using Conv Ne Xt and Swin Transformer. Journal of imaging informatics in medicine. 1 Februar 2026. Vol. 39, no. 1, p. 564-564. DOI 10.1007/s10278-025-01479-6.
Elsevier - Harvard (with titles)Kılıç Ş, 2026. Attention-Based Dual-Path Deep Learning for Blood Cell Image Classification Using Conv Ne Xt and Swin Transformer. Journal of imaging informatics in medicine 39, 564-564. https://doi.org/10.1007/s10278-025-01479-6
American Psychological Association 7th editionKılıç Ş. (2026). Attention-Based Dual-Path Deep Learning for Blood Cell Image Classification Using Conv Ne Xt and Swin Transformer. Journal of Imaging Informatics in Medicine, 39(1), 564-564. https://doi.org/10.1007/s10278-025-01479-6
Springer - Basic (author-date)Kılıç Ş (2026) Attention-Based Dual-Path Deep Learning for Blood Cell Image Classification Using Conv Ne Xt and Swin Transformer.. Journal of imaging informatics in medicine 39:564-564. https://doi.org/10.1007/s10278-025-01479-6
Juristische Zitierweise (Stüber) (Deutsch)Kılıç Ş, Attention-Based Dual-Path Deep Learning for Blood Cell Image Classification Using Conv Ne Xt and Swin Transformer., Journal of imaging informatics in medicine 2026, 564-564.