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Automated skin lesion segmentation using deep side layers

机译:使用深层自动进行皮肤病变分割

摘要

A method for computer-aided diagnosis of skin lesions includes obtaining a dermoscopic image, convolving the dermoscopic image in a plurality of convolutional layers, obtaining deconvolved outputs of at least two convolutional layers of the plurality of convolutional layers, obtaining side-output feature maps by applying loss functions to the deconvolved outputs of the at least two convolutional layers, obtaining a first concatenated feature map by concatenating the side-output feature maps with different first weights, obtaining a second concatenated feature map by concatenating the side-output feature maps with different second weights, and producing a final score map by convolving the first and second concatenated feature maps in a final convolutional layer followed by a loss layer. Also disclosed: a computer-readable medium embodying instructions for the method, and an apparatus configured to implement the method.
机译:一种用于皮肤损伤的计算机辅助诊断的方法,包括:获得皮肤镜图像;将皮肤镜图像卷积在多个卷积层中;获得多个卷积层中的至少两个卷积层的去卷积输出;通过以下方法获得侧输出特征图:将损失函数应用于至少两个卷积层的反卷积输出,通过将具有不同第一权重的侧输出特征图进行级联来获得第一级联特征图,通过将具有不同权重的侧输出特征图进行级联来获得第二级联特征图第二权重,并通过将第一和第二级联的特征图卷积在最终的卷积层,然后是损失层中,生成最终的得分图。还公开了:体现该方法的指令的计算机可读介质,以及被配置为实现该方法的装置。

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