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Found 3 papers, 2 papers with code
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks
The presence and density of specific types of immune cells are important to understand a patient's immune response to cancer.
Hoechst Is All You Need: Lymphocyte Classification with Deep Learning
Multiplex immunofluorescence and immunohistochemistry benefit patients by allowing cancer pathologists to identify several proteins expressed on the surface of cells, enabling cell classification, better understanding of the tumour micro-environment, more accurate diagnoses, prognoses, and tailored immunotherapy based on the immune status of individual patients.
Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency Mapping
Understanding the predictions made by Artificial Intelligence (AI) systems is becoming more and more important as deep learning models are used for increasingly complex and high-stakes tasks.
