医学图像分割

1. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation nnunet
2. AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem? AbdomenCT-1K
3. Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models CTPelvic1K
4. CTSpine1k: A large-scale dataset for spinal vertebrae segmentation in computed tomography CTSpine1k
5. CoTr: Efficient 3D Medical Image Segmentation by bridging CNN and Transformer CoTr
6. UNet++: A Nested U-Net Architecture for Medical Image Segmentation UNet++
7. nnFormer: Interleaved Transformer for Volumetric Segmentation nnFormer
8. Efficient Context-Aware Network for Abdominal Multi-organ Segmentation EfficientSegmentation
9. 3D Self-Supervised Methods for Medical Imaging 3D Self-Supervised
10. DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets DoDNet
11. State-of-the-art medical image segmentation methods based on various challenges! SOTA-MedSeg
12. Semi-supervised-learning-for-medical-image-segmentation SSL4MIS
13. Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation UA-MT
14. Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images SASSnet
15. 3D Medical Image Segmentation With Distance Transform Maps SegWithDistMap
16. Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen Segmentation using Centerline Constraint Examinee-Examiner-Network
17. Kiu-net: Overcomplete convolutional architectures for biomedical image and volumetric segmentationKiu-net