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DEEP LEARNING BASED IMAGE SEGMENTATION METHOD INCLUDING BIODEGRADABLE STENT IN INTRAVASCULAR OPTICAL TOMOGRAPHY IMAGE
DEEP LEARNING BASED IMAGE SEGMENTATION METHOD INCLUDING BIODEGRADABLE STENT IN INTRAVASCULAR OPTICAL TOMOGRAPHY IMAGE
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机译：基于深度学习的图像分割方法，包括血管内光学断层摄影图像中的可生物降解支架
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摘要
According to some embodiments of the present disclosure, an image segmentation apparatus is disclosed. The image segmentation apparatus may include: a storage unit for storing a segmentation model learned to segment at least one preset object; and at least one processor for inputting input data into the segmentation model and segmenting at least one preset object from the input data. Including, wherein the partition model comprises: an encoder including at least one dimension reduction block for reducing the dimension of the input data; a decoder including at least one dimension increase block for increasing a dimension of output data output from the encoder using data output from the at least one dimension reduction block; and an auxiliary classification model that receives the output data and recognizes whether a specific object is included in the output data.
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