https://github.com/bo-10000/VoxResNet
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation
Papers with Code 아카이브
Brain Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 2
<span style="color:grey; opacity: 0.6">( Image credit: 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ibm/multimodal-3d-image-segmentation
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes
https://github.com/ioanvl/1d_squeeze_excitation
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks
https://github.com/josedolz/HyperDenseNet_pytorch
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
https://github.com/josedolz/LiviaNet_pytorch
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
https://github.com/lucasfidon/trabit_brats2021
https://github.com/mateuszbuda/brain-segmentation-pytorch
https://github.com/medical-image-analysis-laboratory/fetalsynthseg
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
https://github.com/mediteamC/teamC
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation
https://github.com/mhmdsab/spatial-squeeze-Excitation
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks
https://github.com/pnlbwh/CNN-Diffusion-MRIBrain-Segmentation
QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy
https://github.com/richardobi/medigan
https://github.com/txin96/voxresnet
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation
https://github.com/uncbiag/LTS
https://github.com/voxelmorph/voxelmorph
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation
https://github.com/wri/restoration-mapper
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks
https://github.com/wri/sentinel-tree-cover
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.