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Brats17 Resnet50 Encoder-Decoder Caffe Model Weights

Monash University
Kamlesh Pawar (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26180/5f2be82063bc8&rft.title=Brats17 Resnet50 Encoder-Decoder Caffe Model Weights&rft.identifier=https://doi.org/10.26180/5f2be82063bc8&rft.publisher=Monash University&rft.description=This are the caffe weights for the paper:Pawar K, Chen Z, Shah NJ, Egan G. Residual encoder and convolutional decoder neural network for glioma segmentation. InInternational MICCAI Brainlesion Workshop 2017 Sep 14 (pp. 263-273). Springer, Cham.&rft.creator=Kamlesh Pawar&rft.date=2020&rft_rights=CC-BY-4.0&rft_subject=brain tumor segmentation&rft_subject=Deep Learning Applications&rft_subject=Medical Image analysis&rft_subject=Artificial Intelligence and Image Processing&rft.type=Computer Program&rft.language=English Access the software
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This are the caffe weights for the paper:

Pawar K, Chen Z, Shah NJ, Egan G. Residual encoder and convolutional decoder neural network for glioma segmentation. InInternational MICCAI Brainlesion Workshop 2017 Sep 14 (pp. 263-273). Springer, Cham.

Issued: 2020-08-06

Created: 2020-08-06

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Subjects
Artificial Intelligence and Image Processing | Deep Learning Applications | Medical Image analysis | brain tumor segmentation |

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Identifiers
ACN 633 798 857