DEEP LEARNING BASED IMAGE SEGMENTATION METHOD INCLUDING BIODEGRADABLE STENT IN INTRAVASCULAR OPTICAL TOMOGRAPHY IMAGE

Disclosed is an image segmentation device. The image segmentation device may include: a storage unit storing a segmentation model learned so as to segment at least one predetermined object; and at least one processor inputting input data into the segmentation model and segmenting at least one predetermined object in the input data, in which the segmentation model may include an encoder including at least one dimension reduction block reducing a dimension of the input data, a decoder including at least one dimension increase block increasing the dimension of output data output from the encoder by using data output from at least one dimension reduction block, and an auxiliary classification model receiving the output data and recognizing whether a specific object is included in the output data.