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Java Deep Learning Projects by Md. Rezaul Karim

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Semantic image segmentation

Image segmentation is the way to partition an image into several coherent parts, but without any attempt at understanding what these parts represent. Semantic segmentation, on the other hand, attempts to partition the image into semantically meaningful parts and to classify each part into one of the predetermined classes.

Such semantic segmentation of raw brain images into gray matter, white matter, and cerebrospinal fluid helps classify them based on the segmented areas. Deep-learning-based techniques are being in use and very successful such as Stacked Denoising Autoencoders (SDAE).

Nevertheless, the recurrent-based fully convolutional network is being in use for semantic segmentation of high-resolution remote ...

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