Results 181 to 190 of about 237,731 (274)

Enhancing tumor deepfake detection in MRI scans using adversarial feature fusion ensembles. [PDF]

Sci Rep
Ali A, Basha HA, Thanuja K, Puneet, Gupta SK, Kim S.   +5 more
europepmc   +1 more source

Low Uncertainty Adversarial Examples

Neural networks are vulnerable to adversarial attacks. Adversarial samples are samples that have a small perturbation compared to the original input they were create from, but are misclassified by the attacked neural network. In the case of images, adversarial examples are generally indistinguishable from the original image by human perception.
openaire   +1 more source

Facial expression recognition for emotion perception: A comprehensive science mapping

Ibrain, EarlyView.
Facial expression recognition (FER) has emerged as a pivotal interdisciplinary research domain, bridging computer science, psychology, neuroscience, and medicine. By mapping the FER scientific knowledge graph, the study aimed to explore the technological evolution and forecast future application trends in this field.
Hou‐Ming Kan, Li‐Ping Chen, Yu Zhang, Hao‐Yuan Hong, Ying‐Ying Qin, Yu‐Guo Cui, Yu‐Bo Mao, Yan‐Zhi Cheng, Zhe Lu, Hong‐Yan Ni, Xiao‐Tong Ding   +10 more
wiley   +1 more source

Privacy-preserving cyberthreat detection in decentralized social media with federated cross-modal graph transformers. [PDF]

Sci Rep
Premkumar D, Nachimuthu SK.
europepmc   +1 more source

Adversarial Examples

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
openaire   +1 more source

Organoids and organ‐on‐a‐chip models for investigating the pathophysiology of the human reproductive system

Interdisciplinary Medicine, EarlyView.
Organoids and organ‐on‐a‐chips are advancing reproductive system research. In the female reproductive system, applications include cancer organoid models, placental chips, and hormone simulation models. For the male reproductive system, research focuses on drug resistance mechanisms, co‐culture platforms, and infertility studies. These refined in vitro
Hongqi Zhang, Shiwen Deng, Fangfang Jin, Jiayao Qu, Xiang Fan, Peng Chen, Xinrong Fan   +6 more
wiley   +1 more source

Bioethics and the value of disagreement. [PDF]

J Med Ethics
Parker MJ.
europepmc   +1 more source

Virtual Magnetic Resonance Elastography Using a Deep Generative Model for Liver Fibrosis Staging

iRADIOLOGY, EarlyView.
The proposed Registration‐based Generative Adversarial Network‐Convolutional Block Attention Module (RegGAN‐CBAM) model efficiently and reliably generates virtual MR elastography using diffusion weighted imaging. Strong correlation between virtual and native MR elastography for liver stiffness and viscosity are observed.
Longyu Sun, Yikun Wang, Yan Li, Xumei Hu, Wenyue Mao, Mengting Sun, Zian Wang, Fuhua Yan, Ruokun Li, Chengyan Wang   +9 more
wiley   +1 more source

Semi-Supervised Seven-Segment LED Display Recognition with an Integrated Data-Acquisition Framework. [PDF]

Sensors (Basel)
Xiang X, Zhu C, Ou Z, Zhang Q, Zheng S, Chen Z.   +5 more
europepmc   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source