medical image segmentation

Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation AAAI 2024 SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images WACV 2024 SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture With Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation WACV 2024 Self-Sampling Meta SAM: Enhancing Few-Shot Medical Image Segmentation With Meta-Learning WACV 2024 Self-Supervised Learning With Masked Autoencoders for Teeth Segmentation From Intra-Oral 3D Scans WACV 2024 Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting AAAI 2024 SPGNet: A Shape-prior Guided Network for Medical Image Segmentation IJCAI 2024 SynergyNet: Bridging the Gap Between Discrete and Continuous Representations for Precise Medical Image Segmentation WACV 2024 ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images CVPR 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation CVPR 2024 Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation MIDL 2024 TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and Separability IJCAI 2024 Tyche: Stochastic In-Context Learning for Medical Image Segmentation CVPR 2024 Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding CVPR 2024 Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation NeurIPS 2024 Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation CVPR 2024 ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting CVPR 2024 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation ICLR 2023 A case for reframing automated medical image classification as segmentation NeurIPS 2023 ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning AAAI 2023 Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift ICML 2023 Ambiguous Medical Image Segmentation Using Diffusion Models CVPR 2023 Automatic Segmentation of Aortic and Mitral Valves for Heart Surgical Planning of Hypertrophic Obstructive Cardiomyopathy ACML 2023 Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation CVPR 2023