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Found 6 papers, 1 papers with code
Explainable and Controllable Motion Curve Guided Cardiac Ultrasound Video Generation
In this context, we propose an explainable and controllable method for echocardiography video generation, taking an initial frame and a motion curve as guidance.
Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction
In this context, we propose a novel method to exploit the long-range dependency management capabilities of the state space model (SSM) to address the above challenge.
Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training
In this study, we proposed a multi-view contrastive self-supervised method to improve thyroid nodule classification and segmentation performance with limited manual labels.
FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation
In this paper, we introduce a novel Fourier-anchor-based DTS framework called Fourier Feature Pyramid Network (FFPN) to address the aforementioned issues.
OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis
Second, to better preserve the integrity and textural information of US images, we implemented a dual-decoder that decouples the content and textural features in the generator.
Segment Anything Model for Medical Images?
To fully validate SAM's performance on medical data, we collected and sorted 53 open-source datasets and built a large medical segmentation dataset with 18 modalities, 84 objects, 125 object-modality paired targets, 1050K 2D images, and 6033K masks.
