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AllentDan / LibtorchSegmentation

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A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

neural-network cpp models pytorch imagenet resnet image-segmentation unet semantic-segmentation resnext pretrained-weights pspnet fpn deeplabv3 deeplabv3plus libtorch pytorch-cpp pytorch-cpp-frontend pretrained-backbones libtorch-segment
  • Updated Dec 7, 2023
  • C++

ekirimlioglu / CANES

Star 1

Medical image segmentation remains a crucial challenge in automated cardiac diagnosis. We present the CANES-Net architecture, a novel architecture combining U-Net with Transformer attention, Mamba selective state-space modeling with class-specific loss functions to improve multi-class cardiac structure segmentation on the ACDC dataset.

performance image cpp medical transformer segmentation unet mamba cardiac cardiac-segmentation state-space-model
  • Updated Jun 11, 2025
  • C++

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