International society of blood transfusion (isbt) (2023) https://www.isbtweb.org/

Lee E, Schiffer C. Abo compatibility can influence the results of platelet transfusion: results of a randomized trial. Transfusion. 1989;29(5):384–9. https://doi.org/10.1046/j.1537-2995.1989.29589284135.x.

Article  Google Scholar 

Ferraz A. 2013 IEEE 3rd Portuguese meeting in bioengineering (ENBENG) (IEEE). 2013, pp. 1–6. https://doi.org/10.1109/enbeng.2013.6518441

Rahman S, Rahman MA, Khan FA, Shahjahan SB, Nahar K. Blood group detection using image processing techniques. Ph.D. thesis, BRAC University, 2017

Sahastrabuddhe AP, Ajij S. Blood group detection and RBC, WBC counting: an image processing approach. Int J Eng Comput Sci. 2016;5(10):18635–9. https://doi.org/10.18535/IJECS/V5I10.49.

Article  Google Scholar 

Yamin A, Imran F, Akbar U, Tanvir SH. 2017 International conference on communication, computing and digital systems (C-CODE) (IEEE), 2017, pp. 293–298. https://doi.org/10.1109/c-code.2017.7918945

Atici H, Koçer HE, Kader S. Determination of blood group by image processing using digital images. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi. 2020;7(2):649–59. https://doi.org/10.35193/bseufbd.646847.

Article  Google Scholar 

Dannana S, Prasad DYV. Blood group detection using ml classifier. Int J Health Sci. 2022;6(S1):4395–408. https://doi.org/10.53730/ijhs.v6nS1.5830.

Article  Google Scholar 

Wang B, Wang L, Xu W, Ding S, Duan S, Cheng W. International Conference on Service Science. New York: Springer; 2023. pp. 231–246.

Odeh N, Toma A, Mohammed F, Dama Y, Oshaibi F, Shaar M. An efficient system for automatic blood type determination based on image matching techniques. Appl Sci. 2021;11(11):5225–51. https://doi.org/10.3390/app11115225.

Article  Google Scholar 

Sklavounos AA, Lamanna J, Modi D, Gupta S, Mariakakis A, Callum J, Wheeler AR. Digital microfluidic hemagglutination assays for blood typing, donor compatibility testing, and hematocrit analysis. Clin Chem. 2021;67(12):1699–708.

Article  Google Scholar 

Gupta S, Sklavounos AA, Dahmer J, Yong AK, Abdullah MA, Camacho G, Morton K, Shiu M, Labrecque J, Veres T, et al. 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (IEEE); 2022. pp. 230–235.

Korchagin SA, Zaychenkova EE, Sharapov DA, Ershov EI, Butorin YV, Vengerov YY. The algorithm of blood typing using serological plates images. Comput Opt. 2023. https://doi.org/10.18287/2412-6179-CO-1339.

Article  Google Scholar 

Reid ME, Lomas-Francis C, Olsson ML. The blood group antigen factsbook. Cambridge: Academic Press; 2012. https://doi.org/10.1016/C2011-0-69689-9.

Book  Google Scholar 

Bloody well repository. https://github.com/createcolor/bloody_well (2024)

Tan M, Le Q. International conference on machine learning (PMLR), 2019; 6105–6114. https://doi.org/10.48550/arXiv.1905.11946

Tan M, Le Q. International conference on machine learning. Proc Mach Learn Res PMLR. 2021. https://doi.org/10.48550/arXiv.2104.00298.

Article  Google Scholar 

Howard A, Sandler M, Chu G, Chen LC, Chen B, Tan M, Wang W, Zhu Y, Pang R, Vasudevan V, et al. Proceedings of the IEEE/CVF international conference on computer vision. 2019, pp. 1314–1324. https://doi.org/10.1109/iccv.2019.00140

Huang G, Liu Z, Van Der Maaten L, Weinberger KQ. Proceedings of the IEEE conference on computer vision and pattern recognition. 2017. pp. 4700–4708. https://doi.org/10.1109/cvpr.2017.243

He K, Zhang X, Ren S, Sun J. Proceedings of the IEEE conference on computer vision and pattern recognition. 2016. pp. 770–778. https://doi.org/10.1109/CVPR.2016.90

Shankar K, Zhang Y, Liu Y, Wu L, Chen CH. Hyperparameter tuning deep learning for diabetic retinopathy fundus image classification. IEEE Access. 2020;8:118164–73. https://doi.org/10.1109/access.2020.3005152.

Article  Google Scholar 

Pacheco AGC, Krohling RA. An attention-based mechanism to combine images and metadata in deep learning models applied to skin cancer classification. IEEE J Biomed Health Inform. 2021;25(9):3554–63. https://doi.org/10.1109/JBHI.2021.3062002.

Article  Google Scholar 

Liu D, Wang W, Wu X, Yang J. 2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI) (IEEE). 2022. pp. 384–387. https://doi.org/10.1109/IWECAI55315.2022.00081

Kingma DP, Ba J. Adam: a method for stochastic optimization. 2014. arXiv:1412.6980. https://doi.org/10.48550/arXiv.1412.6980

Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition. 2014. arXiv:1409.1556. https://doi.org/10.48550/arXiv.1409.1556