https://gitlab.com/picture-production/picture-nnunet-package
공식 코드Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
Papers with Code 아카이브
Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 5
- 보존된 평가 기록
- 6
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://gitlab.inria.fr/simbiotx/LiverVesselSeg
공식 코드Enhancing the automatic segmentation and analysis of 3D liver vasculature models
https://gitlab.lrz.de/compai/MediastinalLymphNodeSegmentation
공식 코드https://gitlab.oit.duke.edu/cvit-public/dukeseg_public
공식 코드XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans
https://huggingface.co/datasets/RadGenome/RadGenome-ChestCT
공식 코드RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
https://huggingface.co/pyannote/segmentation
공식 코드End-to-end speaker segmentation for overlap-aware resegmentation
https://zenodo.org/record/15255556
공식 코드GOUHFI: a novel contrast- and resolution-agnostic segmentation tool for Ultra-High Field MRI
https://dagshub.com/f2010126/Zero-shot-Instance-Segmentation
https://gitee.com/HarveyYeung/BCS-Net-MindSpore.git
https://gitee.com/gai-shaoyan/mind3d
https://github.com/04RR/SOTA-Vision
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
https://github.com/0bserver07/Keras-SegNet-Basic
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/0bserver07/One-Hundred-Layers-Tiramisu
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
https://github.com/0xzayd/Wnet-cGAN
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/1044197988/TF.Keras-Commonly-used-models
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/163GitHub/AI
https://github.com/16xccheng/keras-unet
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/18520339/dbnet-tf2
Real-time Scene Text Detection with Differentiable Binarization
https://github.com/198808xc/OrganSegC2F
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
https://github.com/198808xc/OrganSegRSTN
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
https://github.com/2020-sk49/VFOST
https://github.com/2023-MindSpore-1/ms-code-118
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-143
Sparse Instance Activation for Real-Time Instance Segmentation
https://github.com/2023-MindSpore-1/ms-code-15
https://github.com/2023-MindSpore-1/ms-code-15/tree/main/fcn-4
https://github.com/2023-MindSpore-1/ms-code-16/tree/main/Auto-DeepLab
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-16/tree/main/adelaide_ea
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
https://github.com/2023-MindSpore-1/ms-code-167
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-170
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-18/tree/main/lenet
LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention
https://github.com/2023-MindSpore-1/ms-code-183
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/2023-MindSpore-1/ms-code-185
https://github.com/2023-MindSpore-1/ms-code-207
https://github.com/2023-MindSpore-1/ms-code-208
https://github.com/2023-MindSpore-1/ms-code-211/tree/main/dpn
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FCN8s
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.