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Found 5 papers, 2 papers with code
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification
This module can perform full self-attention with relative position encoding on patches of large and arbitrary shaped WSIs, solving the need for correlation between instances and spatial modeling of tissues.
Image Translation Based Nuclei Segmentation for Immunohistochemistry Images
Numerous deep learning based methods have been developed for nuclei segmentation for H&E images and have achieved close to human performance.
Descriptive Modeling of Textiles using FE Simulations and Deep Learning
In this work we propose a novel and fully automated method for extracting the yarn geometrical features in woven composites so that a direct parametrization of the textile reinforcement is achieved (e. g., FE mesh).
Medical Image Synthesis with Deep Convolutional Adversarial Networks
To better model a nonlinear mapping from source to target and to produce more realistic target images, we propose to use the adversarial learning strategy to better model the FCN.
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
To better model the nonlinear relationship from MRI to CT and to produce more realistic images, we propose to use the adversarial training strategy and an image gradient difference loss function.
