Digital pathological image H&E dyeing restoration method based on strong reversible adversarial network
A digital pathology and image technology, applied in the field of image processing, can solve the problems of unsatisfactory staining normalization and unsatisfactory results.
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[0070] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0071] The invention provides a method for restoring H&E staining of digital pathological images based on a strong reversible confrontational network. The method trains a strong reversible confrontational network, and performs H&E staining restoration on digital pathological images through the trained strong reversible confrontational network.
[0072] The entire strong reversible adversarial network consists of two generators G A , G B and two discriminators D A 、D B .
[0073] figure 2 is the generator G in this embodiment A A schematic diagram of the generator G A by G A_ENC , G A_CORE , G A_DEC (encoding, feature mapping, decoding) consists of three parts; where G A The encoding operation consists of a convolution layer with a convolution kernel size of 4*4 and a step size of 2, and an addition operation Addition of inp...
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