Self-supervised pre-training with Vision Transformers, including Masked Autoencoders (MAE), is difficult to apply to gigapixel scientific images. Random masking is poorly matched to the structured, multi-scale morphology of scientific data, while uniform tokenization produces prohibitively long sequences that make $O(N...
En-Zhi Zhang, Du Wu, Rui Zhong et al.· 0 citations
This chapter presents a unified computational perspective on medical image acquisition and reconstruction across CT, MRI, PET, and SPECT, and examines efficient computing considerations, including optimization algorithms, physics-aware forward operators, memory-efficient implementations, and parallel computing strategi...
Xiao Wang, Jayasai R. Rajagopal, Md Safaiat Hossain et al.· 0 citations
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