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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
Maqola201690 iqtibosABIU-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger, Philipp Fischer, Thomas Brox
BobOchiq kirish201545 iqtibosABIA survey on Image Data Augmentation for Deep Learning
Connor Shorten, Taghi M. Khoshgoftaar
MaqolaOchiq kirish201912 iqtibosABIThe Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Bjoern Menze, András Jakab, Stefan Bauer +65
Sharh maqolaOchiq kirish20148 iqtibosABIUNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath +5
MaqolaOchiq kirish20228 iqtibosABIAdvancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras +6
MaqolaOchiq kirish20174 iqtibosABILearning Spatiotemporal Features with 3D Convolutional Networks
Du Tran, Lubomir Bourdev, Rob Fergus +2
Preprint20153 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