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U-Net and Its Variants for Medical Image Segmentation: A Review of ...

U-Net is a fully convolutional encoder/decoder structure designed for image segmentation, addressing the image localization challenge in CNNs by incorporating encoder pathways and decoder paths in a U-shaped architecture.

Spectropolarimetric Inversion in Four Dimensions with Deep Learning ...

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CapsANet: Medical image segmentation network based on convolution ...

CapsNet for Medical Image Segmentation. Convolutional Neural Networks (CNNs) have been successful in solving tasks in computer vision including medical image segmentation due to their ability to automatically extract features from unstructured data.

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[2407.20309] Spectropolarimetric Inversion in Four ...

We provide an overview of our "SPIn4D" project, which aims to develop deep convolutional neural networks (CNNs) for estimating the physical properties of the ...