Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images

Understand

According to the 2021 World Health Organization (WHO) Classification scheme for gliomas, glioma segmentation is a very important basis for diagnosis and genotype prediction.

• In general, 3D multimodal brain MRI is an effective diagnostic tool.
• In the past decade, there has been an increase in the use of machine learning, particularly deep learning, for medical images processing.
• Thanks to the development of foundation models, models pre-trained with large-scale datasets have achieved better results on a variety of tasks.