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Found 6 papers, 2 papers with code
Med3DInsight: Enhancing 3D Medical Image Understanding with 2D Multi-Modal Large Language Models
Understanding 3D medical image volumes is a critical task in the medical domain.
AliFuse: Aligning and Fusing Multi-modal Medical Data for Computer-Aided Diagnosis
Medical data collected for making a diagnostic decision are typically multi-modal and provide complementary perspectives of a subject.
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors
In this paper, we propose a scribble-based volumetric image segmentation, Scribble2D5, which tackles 3D anisotropic image segmentation and aims to its improve boundary prediction.
MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
Vision-language pre-training (VLP) models have been demonstrated to be effective in many computer vision applications.
Longformer: Longitudinal Transformer for Alzheimer's Disease Classification with Structural MRIs
Structural magnetic resonance imaging (sMRI) is widely used for brain neurological disease diagnosis; while longitudinal MRIs are often collected to monitor and capture disease progression, as clinically used in diagnosing Alzheimer's disease (AD).
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations
In this paper, we propose a scribble-based volumetric image segmentation, Scribble2D5, which tackles 3D anisotropic image segmentation and improves boundary prediction.
