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Ish: Brain tumor segmentation capabilities of 3D deep learning architectures (U-Net, V-Net, Attention U-Net, ResNet-based U-Net, Transformer-based model)
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
Maqola201661 iqtibosABIA survey on Image Data Augmentation for Deep Learning
Connor Shorten, Taghi M. Khoshgoftaar
Maqola201910 iqtibosABIThe Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Bjoern Menze, András Jakab, Stefan Bauer +65
Sharh maqola20146 iqtibosABIUNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath +5
Maqola20226 iqtibosABILearning Spatiotemporal Features with 3D Convolutional Networks
Du Tran, Lubomir Bourdev, Rob Fergus +2
Preprint20152 iqtibosABICurrent Methods in Medical Image Segmentation
Dzung L. Pham, Chenyang Xu, Jerry L. Prince
Sharh maqola20002 iqtibosABIComparing images using the Hausdorff distance
D.P. Huttenlocher, G.A. Klanderman, W.J. Rucklidge
Maqola19932 iqtibosABI