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Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction.

, , , and . IEEE Trans. Med. Imaging, 36 (7): 1533-1541 (2017)

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Seeing More Is Knowing More: V3D Enables Real-Time 3D Visualization and Quantitative Analysis of Large-Scale Biological Image Data Sets., and . RECOMB, volume 6577 of Lecture Notes in Computer Science, page 336. Springer, (2011)A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy., , , , , , , , , and 3 other author(s). HPCS, page 592-599. IEEE, (2014)A Bayesian Learning Algorithm of Discrete Variables for Automatically Mining Irregular Features of Pattern Images., and . MDM/KDD, page 87-93. University of Alberta, (2001)Automatic content extraction of filled-form images based on clustering component block projection vectors., , and . DRR, volume 5296 of SPIE Proceedings, page 204-214. SPIE, (2004)Straightening Worm Images., , and . ISBI, page 292-295. IEEE, (2007)Clustering gene expression patterns of fly embryos., , , and . ISBI, page 1144-1147. IEEE, (2006)Segmenting Neuronal Structure in 3D Optical Microscope Images via Knowledge Distillation with Teacher-Student Network., , , , , , , and . ISBI, page 228-231. IEEE, (2019)Bioimage informatics: a new category in Bioinformatics., , , and . Bioinform., 28 (8): 1057 (2012)Structure Search and Stability Enhancement of Bayesian Networks., and . ICDM, page 621-624. IEEE Computer Society, (2003)Boosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images., , , , and . CoRR, (2024)