Article

AGD-Autoencoder: Attention Gated Deep Convolutional Autoencoder for Brain Tumor Segmentation

2022-11-08

Abstract excerpt

Brain tumor segmentation is a challenging problem in medical image analysis. The endpoint is to generate the salient masks that accurately identify brain tumor regions in an fMRI screening. In this paper, we propose a novel attention gate (AG model) for brain tumor segmentation that utilizes both the edge detecting unit and the attention gated network to highlight and segment the salient regions from fMRI images....

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Literature Corpus work: 8c77c4ce-89c6-5b20-800f-fdb16c51a303
DOI: 10.22541/au.166792122.24728574/v1

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