3 papers
eess.IV2025
Hierarchical Sparse Attention Framework for Computationally Efficient Classification of Biological Cells
Elad Yoshai, Dana Yagoda-Aharoni, Eden Dotan +1
We present SparseAttnNet, a new hierarchical attention-driven framework for efficient image classification that adaptively selects and processes only the most informative pixels fr…
eess.IV2024
Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention
Elad Yoshai, Gil Goldinger, Miki Haifler +1
In histological pathology, frozen sections are often used for rapid diagnosis during surgeries, as they can be produced within minutes. However, they suffer from artifacts and ofte…
eess.IV2023
Super resolution of histopathological frozen sections via deep learning preserving tissue structure
Elad Yoshai, Gil Goldinger, Miki Haifler +1
Histopathology plays a pivotal role in medical diagnostics. In contrast to preparing permanent sections for histopathology, a time-consuming process, preparing frozen sections is s…