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Digital holographic microscopy as a non‐contacting, non‐invasive, and highly accurate measurement technology, is becoming a valuable method for quantitatively investigating cells and tissues. Reconstruction of phases from a digital hologram is a key step in quantitative phase imaging for biological and biomedical research. This study proposes a two‐stage deep convolutional neural network named VY‐Net,...