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LSTM Multi-Modal UNet For Brain Tumor Segmentation by shekharkirsan is a document available to read on EtoBox.

The document presents a novel architecture called LSTM multi-modal UNet for brain tumor segmentation using multi-modal MRI images. This method combines convolutional neural networks with LSTM to effectively capture both spatial and sequential information from the images, outperforming existing state-of-the-art segmentation techniques. Experiments conducted on the BRATS-2015 dataset demonstrate the effectiveness of this approach in accurately segmenting brain tumors across various modalities.

Author

shekharkirsan

Language

EN