Hybrid Masked Image Modeling for 3D Medical Image Segmentation
Hybrid Masked Image Modeling for 3D Medical Image Segmentation is a scholarly work, published in 2024 in ''IEEE Journal of Biomedical and Health Informatics''. The main subjects of the publication include segmentation, deep learning, radiomics, artificial intelligence, image segmentation, computer vision, encoder, pixel, machine learning, pattern recognition, and computer science. The paper presents HybridMIM, a novel hybrid self-supervised learning method based on masked image modeling for 3D medical image segmentation.