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A layer-level multi-scale architecture for lung cancer classification with fluorescence lifetime imaging endomicroscopy., , , , , , , and . Neural Comput. Appl., 34 (21): 18881-18894 (2022)Estimating Bacterial Load in FCFM Imaging., , , and . MIUA, volume 723 of Communications in Computer and Information Science, page 909-921. Springer, (2017)Patch-based Sparse Representation For Bacterial Detection., , , , , and . CoRR, (2018)Bayesian bacterial detection using irregularly sampled optical endomicroscopy images., , , , , , and . Medical Image Anal., (2019)Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology Images., , , , , , , and . CoRR, (2022)Computational Fluorescence Suppression in Shifted Excitation Raman Spectroscopy., , , , , , , , , and 6 other author(s). IEEE Trans. Biomed. Eng., 70 (8): 2374-2383 (August 2023)Multi-class classification of pulmonary endomicroscopic images., , , , , , , and . ISBI, page 1574-1577. IEEE, (2018)Estimating Bacterial and Cellular Load in FCFM Imaging., , , and . J. Imaging, 4 (1): 11 (2018)Patch-Based Sparse Representation For Bacterial Detection., , , , , and . ISBI, page 657-661. IEEE, (2019)Texture Descriptors for Classifying Sparse, Irregularly Sampled Optical Endomicroscopy Images., , , , , , , and . MIUA, volume 894 of Communications in Computer and Information Science, page 165-176. Springer, (2018)