conftrace_

medical image segmentation

351 papers

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Also known as

MIS

Co-occurring keywords

semantic segmentation (3186) semi-supervised learning (2341) medical imaging (971) image segmentation (971) domain adaptation (4595) convolutional neural network (4226) self-supervised learning (3777) attention mechanism (4001) domain generalization (1522) few-shot learning (3398)

Papers

E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation NIPS 2024
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries AAAI 2024
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation AAAI 2024
TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and Separability IJCAI 2024
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation CVPR 2024
Polyper: Boundary Sensitive Polyp Segmentation AAAI 2024
Self-Sampling Meta SAM: Enhancing Few-Shot Medical Image Segmentation With Meta-Learning WACV 2024
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation CVPR 2024
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation WACV 2024
Multimodal Representation Distribution Learning for Medical Image Segmentation IJCAI 2024
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting CVPR 2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation CVPR 2024
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation CVPR 2024
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation CVPR 2024
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation CVPR 2024
Clustering Propagation for Universal Medical Image Segmentation CVPR 2024
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images WACV 2024
MetaSeg: MetaFormer-Based Global Contexts-Aware Network for Efficient Semantic Segmentation WACV 2024
MIST: Medical Image Segmentation Transformer With Convolutional Attention Mixing (CAM) Decoder WACV 2024
AFTer-SAM: Adapting SAM With Axial Fusion Transformer for Medical Imaging Segmentation WACV 2024
Predictive Accuracy-Based Active Learning for Medical Image Segmentation IJCAI 2024
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training NIPS 2024
One-Prompt to Segment All Medical Images CVPR 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NIPS 2024
Self-Supervised Learning With Masked Autoencoders for Teeth Segmentation From Intra-Oral 3D Scans WACV 2024