Results 111 to 120 of about 222,396 (351)
Phase space sampling and operator confidence with generative adversarial networks
, 2017 We demonstrate that a generative adversarial network can be trained to produce Ising model configurations in distinct regions of phase space. In training a generative adversarial network, the discriminator neural network becomes very good a discerning ...
Mills, Kyle, Tamblyn, Isaac
core
Advanced Science, EarlyView.From conventional ceramics to bioinspired smart composites, this review charts the evolution of dental restorative biomaterials. Integrating materials innovation, advanced manufacturing technologies, and bioinspired strategies, it presents a roadmap for developing functional, clinically translatable restorations that combine durability, adaptability ...
Bailei Li +14 more
wiley +1 more source
A generative adversarial network to Reinhard stain normalization for histopathology image analysis
Ain Shams Engineering JournalHistopathology image analysis is paramount importance for accurate diagnosing diseases and gaining insight into tissue properties. The significant challenge of staining variability continues.
Afnan M. Alhassan
doaj +1 more source
Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks [PDF]
, 2022 Henk van Voorst +12 more
openalex +1 more source
Batch equalization with a generative adversarial network
Bioinformatics, 2020 Abstract Motivation Advances in automation and imaging have made it possible to capture a large image dataset that spans multiple experimental batches of data. However, accurate biological comparison across the batches is challenged by batch-to-batch variation (i.e. batch effect) due to uncontrollable
Wesley Wei, Qian +8 more
openaire +2 more sources
Advanced Science, EarlyView.This study presents a novel microscopic imaging system capable of rapid, section‐free scanning of irregular tissue surfaces, delivering high sensitivity for detecting cancer cell clusters during intraoperative tumor margin assessment. Abstract Rapid and accurate intraoperative examination of tumor margins is crucial for precise surgical treatment, yet ...
Zhicheng Shao +17 more
wiley +1 more source
Image Fusion for Super‐Resolution Mass Spectrometry Imaging of Plant Tissue
Advanced Science, EarlyView.A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Yuchen Zou +3 more
wiley +1 more source
SpaBalance: Balanced Learning for Efficient Spatial Multi‐Omics Decoding
Advanced Science, EarlyView.SpaBalance is a computational framework that harmonizes multi‐omics learning via gradient equilibrium and dual‐stream feature decomposition, achieving superior clustering accuracy, biological interpretability, and scalable integration of three or more spatial omics modalities.
Yingbo Cui +8 more
wiley +1 more source
Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN
, 2017 We propose a novel technique to make neural network robust to adversarial examples using a generative adversarial network. We alternately train both classifier and generator networks.
Han, Sungyeob +2 more
core
Advanced Science, EarlyView.A neuromorphic computing platform using spin‐orbit torque‐controlled magnetic textures is reported. The device implements bio‐inspired synaptic functions and achieves high performance in both pattern recognition (>93%) and combinatorial optimization (>95%), enabling unified processing of cognitive and optimization tasks.
Yifan Zhang +13 more
wiley +1 more source