Author:
Salehi Raheleh,Sadafi Ario,Gruber Armin,Lienemann Peter,Navab Nassir,Albarqouni Shadi,Marr Carsten
Publisher
Springer Nature Switzerland
Reference18 articles.
1. Acevedo, A., Merino, A., Alférez, S., Molina, Á., Boldú, L., Rodellar, J.: A dataset of microscopic peripheral blood cell images for development of automatic recognition systems. Data Brief 30 (2020). ISSN 23523409
2. Acevedo, A., Merino, A., Boldú, L., Molina, Á., Alférez, S., Rodellar, J.: A new convolutional neural network predictive model for the automatic recognition of hypogranulated neutrophils in myelodysplastic syndromes. Comput. Biol. Med. 134, 104479 (2021)
3. Boldú, L., Merino, A., Alférez, S., Molina, A., Acevedo, A., Rodellar, J.: Automatic recognition of different types of acute leukaemia in peripheral blood by image analysis. J. Clin. Pathol. 72(11), 755–761 (2019)
4. Buitinck, L., et al.: API design for machine learning software: experiences from the scikit-learn project. In: ECML PKDD Workshop: Languages for Data Mining and Machine Learning, pp. 108–122 (2013)
5. Chen, C., Dou, Q., Chen, H., Qin, J., Heng, P.A.: Unsupervised bidirectional cross-modality adaptation via deeply synergistic image and feature alignment for medical image segmentation. IEEE Trans. Med. Imaging 39(7), 2494–2505 (2020)
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