The invention discloses a method for establishing an eosinophilic granulocyte proportion model by utilizing a nasal polyp pathological picture, and the method comprises the following steps: preparingdata, manufacturing nasal polyp into a slide, scanning by using a digital pathological instrument to obtain a WSI picture, and cutting the WSI picture to obtain small pathological pictures; dividing all the small pathological pictures into training set data and test set data according to a set proportion; establishing the eosinophilic granulocyte proportion model; performing training on an ImageNet data set by adopting an Inception V3 model to obtain model parameters, removing the last full connection layer FC of the model, adding a full connection layer FC, wherein only one neuron is arranged in the full connection layer FC, and no activation function is adopted; setting a loss function to employ a mean square error MSE, and setting a learning rate lr. The method is applied to a chronicnasosinusitis nasal polyp pathological auxiliary diagnosis system, and the eosinophilic granulocyte proportion on a pathological picture is rapidly and accurately obtained through learning and training.