METHOD AND DEVICE FOR INTEGRATING IMAGE CHANNELS IN A DEEP LEARNING MODEL FOR CLASSIFICATION

摘要

Embodiments of present disclosure disclose method and device for integrating image channels in a deep learning model for classification of objects in a sample. Initially, at least one microscopic image of a sample comprising plurality of objects is received. Plurality of image channels is generated for the at least one microscopic image using at least one image operator. The plurality of image channels comprises at least one colour image channel and at least one hand-crafted image channel. Upon the generation, the plurality of image channels is provided to a deep learning model to integrate the plurality of image channels with the deep learning model for classification of the plurality of objects.