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MEDICAL IMAGE SEGMENTATION METHOD, MEDICAL IMAGE SEGMENTATION APPARATUS AND TERMINAL DEVICE

机译:医学图像分割方法,医学图像分割装置和终端装置

摘要

Provided is a medical image segmentation method. The method comprises: acquiring a medical image to be detected; inputting said medical image into a trained segmentation model, wherein the segmentation model comprises an encoder and a decoder, the encoder comprises a plurality of first hierarchical structures, the plurality of first hierarchical structures comprise a first input layer, at least one first intermediate layer and a first output layer, the decoder comprises a second input layer, at least one second intermediate layer and a second output layer, and the input of any second intermediate layer comprises a fusion result of the output of the previous layer of the second intermediate layer and the output of at least two first hierarchical structures; and processing said medical image by means of the segmentation model so as to obtain an output result of the segmentation model, wherein the output result comprises a segmentation result regarding a medical feature region in said medical image. By means of the method, the accuracy of image segmentation of a medical image can be improved.
机译:提供是一种医学图像分割方法。该方法包括:获取要检测的医学图像;将所述医学图像输入到培训的分割模型中,其中分割模型包括编码器和解码器,编码器包括多个第一分层结构,多个第一层级结构包括第一输入层,至少一个第一中间层和第一输出层,解码器包括第二输入层,至少一个第二中间层和第二输出层,并且任何第二中间层的输入包括第二中间层的前一层的输出的融合结果至少两个第一层级结构的输出;通过分割模型处理所述医学图像,以便获得分割模型的输出结果,其中输出结果包括关于所述医学图像中的医学特征区域的分段结果。借助于该方法,可以提高医学图像的图像分割的准确性。

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