Results 11 to 20 of about 7,267 (122)
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
An AI‐enabled micromixing framework is developed by integrating cGAN with Bayesian optimization for predictive control of microrobot‐driven flow manipulation. Through this framework, the spatiotemporal evolution of micromixing is learned directly from experimental images, while rapid identification of optimized microrobot actuation strategies is ...
Dineshkumar Loganathan, Chia‐Yuan Chen
wiley +1 more source
Organic neuromorphic optoelectronic sensing materials, intelligent devices, and bionic systems
Due to the excellent performance and biocompatibility, organic neuromorphic photoelectric sensing technology is regarded as a highly promising research field. In this review, Liu et al. summarize the recent advances in related materials, devices, and system integration.
Yu‐ang Liu +4 more
wiley +1 more source
Artikel ini merupakan versi postprint, artikel ini sudah dipublikasikan pada Jurnal Saintek Fak. Teknik Universitas Islam Sumatera Utara (UISU), ISSN: 2355-2395, Volume 2 Nomor 2 tahun 2015, halaman 234 ...
openaire +2 more sources
The AI‐enabled multimodal framework for whole‐life myopia management. Graphical abstract illustrates the transition of myopia care from premyopia to myopia, high myopia, and pathologic myopia. Multimodal data, including demographic and refractive information, genetic, behavioral and environmental factors, ophthalmic imaging, and omics profiles, can be ...
Zewei Zhang +6 more
wiley +1 more source
ABSTRACT Purpose To develop a vessel wall imaging (VWI)‐dedicated image restoration model enabling high‐resolution whole‐brain VWI in under 6 min. Methods A transformer‐based 2.5D model was trained in a supervised manner to enhance the image quality of CAIPIRINHA 2 × 2‐accelerated VWI acquisitions to a level comparable to that of GRAPPA twofold ...
Pengcheng Wang +14 more
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This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao +10 more
wiley +1 more source
World Models for Robotic Manipulation: A Survey
World models enable robots to anticipate how candidate actions may alter object configurations, contact states, and scene geometry before physical execution. This survey examines world models for robotic manipulation as action‐conditioned predictive systems and organizes the literature according to predicted representations, interfaces between ...
Fangyuan Wang +17 more
wiley +1 more source
A multi‐gated ion‐gel graphene transistor architecture emulates spatiotemporal dendritic filtering inspired by biological direction‐selective retinal circuits. Leveraging distributed resistance‐capacitive ionic relaxation delays under combined excitation‐inhibition pulse routines, the solid‐state device exhibits programmable direction‐selective index ...
Jun Ha Park +11 more
wiley +1 more source

