#mri2 articles

2 articles

AIBullisharXiv – CS AI · 6h ago5

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3D Modality-Aware Pre-training for Vision-Language Model in MRI Multi-organ Abnormality Detection

Researchers developed MedMAP, a Medical Modality-Aware Pretraining framework that enhances vision-language models for 3D MRI multi-organ abnormality detection. The framework addresses challenges in modality-specific alignment and cross-modal feature fusion, demonstrating superior performance on a curated dataset of 7,392 3D MRI volume-report pairs.

AINeutralarXiv – CS AI · 6h ago1

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General vs Domain-Specific CNNs: Understanding Pretraining Effects on Brain MRI Tumor Classification

Research comparing CNN architectures for brain tumor classification found that general-purpose models like ConvNeXt-Tiny (93% accuracy) outperformed domain-specific medical pre-trained models like RadImageNet DenseNet121 (68% accuracy). The study suggests that contemporary general-purpose CNNs with diverse pre-training may be more effective for medical imaging tasks in data-scarce scenarios.