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Explainable Artificial Intelligence for Cytological Image Analysis.

, , , , , , , , and . AIME, volume 13897 of Lecture Notes in Computer Science, page 75-85. Springer, (2023)

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Explainable Artificial Intelligence for Cytological Image Analysis., , , , , , , , and . AIME, volume 13897 of Lecture Notes in Computer Science, page 75-85. Springer, (2023)Towards Interpretable Classification of Leukocytes based on Deep Learning., , , , , , , , and . CoRR, (2023)Unsupervised high-throughput segmentation of cells and cell nuclei in quantitative phase images., , , , and . CoRR, (2023)Joint Particle Detection and Analysis by a CNN and Adaptive Norm Minimization Approach., , , and . IEEE Trans. Biomed. Eng., 69 (8): 2468-2479 (2022)Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis., , , , , , , , and . BIOIMAGING, page 69-77. SCITEPRESS, (2023)Grease the gears for a steady microfluidic flow., and . CoRR, (2023)Organic visible light communications: Recent progress., , , , , , , and . ICTON, page 1-5. IEEE, (2014)A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification., , , , , , , , , and . IJCNN, page 1-8. IEEE, (2022)Cell segmentation in digital holographic images., , and . ISBI, page 209-212. IEEE, (2016)Autoencoder Features for Differentiation of Leukocytes Based on Digital Holographic Microscopy (DHM)., , , , , and . EUROCAST (2), volume 12014 of Lecture Notes in Computer Science, page 281-288. Springer, (2019)