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eess.IV2025
Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM)
Yang Zhou, Chrystie Wan Ning Quek, Jun Zhou +22
Current artificial intelligence models for medical imaging are predominantly single modality and single disease. Attempts to create multimodal and multi-disease models have resulte…
eess.IV2020★ 3 cited
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation
Shuchao Pang, Anan Du, Mehmet A. Orgun +5
Automatic tumor segmentation is a crucial step in medical image analysis for computer-aided diagnosis. Although the existing methods based on convolutional neural networks (CNNs) h…