Biomedical Image Segmentation - Groups

ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansi...

Biomedical image segmentation aims at partitioning an image into multiple regions corresponding to anatomical objects of interest.

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MICCAI 2015 Gland Segmentation dataset (GlaS)

The MICCAI 2015 Gland Segmentation dataset (GlaS) is a biomedical image dataset used for evaluating the performance of image segmentation algorithms.

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MDU-Net: Multi-scale Densely Connected U-Net for Biomedical Image Segmentation

Biomedical image segmentation plays a central role in quantitative analysis, clinical diagnosis, and medical intervention.

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EM dataset

The EM dataset is a biomedical image segmentation dataset.

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EM ISBI 2012 dataset

The EM ISBI 2012 dataset is a biomedical image segmentation dataset.

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EM Segmentation Challenge

The dataset is used for biomedical image segmentation tasks, specifically for the segmentation of neuronal structures in electron microscopic stacks and cell tracking in light...

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U-net: Convolutional networks for biomedical image segmentation

The U-net is a deep convolutional neural network for biomedical image segmentation.

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U-Net

The dataset used in this paper for medical image segmentation, including images from the ISBI-2012 dataset.

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U-net: Con-volutional networks for biomedical image segmentation

U-net: Con-volutional networks for biomedical image segmentation.

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9 datasets found