U-Net: deep learning for cell counting, detection, and morphometry
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ArtSeg—Artifact segmentation and removal in brightfield cell
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DEEP LEARNING FOR SEGMENTATION AND COUNTING OF WHITE BLOOD CELLS IN CLINICAL DIAGNOSIS
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Seg2Link: an efficient and versatile solution for semi-automatic
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Methodology for comprehensive cell-level analysis of wound healing
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U-Net: deep learning for cell counting, detection, and morphometry
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Deeply-supervised density regression for automatic cell counting
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Frontiers Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations
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1904.08128] Automated Design of Deep Learning Methods for
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A Deep Learning Pipeline for Nucleus Segmentation - Zaki - 2020 - Cytometry Part A - Wiley Online Library
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U-Net: deep learning for cell counting, detection, and morphometry
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