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Found 5 papers, 0 papers with code
Auxiliary CycleGAN-guidance for Task-Aware Domain Translation from Duplex to Monoplex IHC Images
Generative models enable the translation from a source image domain where readily trained models are available to a target domain unseen during training.
An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis
We develop a model the dynamics of human mesenchymal stem cells (hMSCs) and chondrocytes evolving in a nonwoven polyethylene terephtalate (PET) scaffold impregnated with hyaluron and supplied with a differentiation medium.
Novel Deep Learning Approach to Derive Cytokeratin Expression and Epithelium Segmentation from DAPI
Generative Adversarial Networks (GANs) are state of the art for image synthesis.
Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection
The detection of nuclei is one of the most fundamental components of computational pathology.
Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell Scoring on NSCLC Tissue Needle Biopsies
The level of PD-L1 expression in immunohistochemistry (IHC) assays is a key biomarker for the identification of Non-Small-Cell-Lung-Cancer (NSCLC) patients that may respond to anti PD-1/PD-L1 treatments.
