Results 221 to 230 of about 324,009 (309)

Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness

open access: yesAdvanced Intelligent Discovery, EarlyView.
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng   +10 more
wiley   +1 more source

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

open access: yesAdvanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

Generative Ai for Cardiovascular Cell Type‐Specific Fluorescence Colorization of Live‐Cell hPSC‐Derived Cardiac Organoids

open access: yesAdvanced Intelligent Discovery, EarlyView.
A generative AI system is developed for colorizing phase contrast images of human pluripotent stem cell (hPSC)‐derived cardiac organoids (COs) from bright‐field microscopic imaging using conditional generative adversarial networks (cGANs). By giving these phase contrast images with multichannel fluorescence colorization, this intelligence system ...
Arun Kumar Reddy Kandula   +6 more
wiley   +1 more source

Cellpose+, a Morphological Analysis Tool for Feature Extraction of Stained Cell Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
We introduce Cellpose plus, a morphological and geometrical analysis tool for feature extraction of stained cell images built over Cellpose, a state‐of‐the‐art cell segmentation framework. We also introduce a dataset of DAPI and FITC stained cells to which our new method is applied.
Israel A. Huaman   +10 more
wiley   +1 more source

Deep learning empowered sensor fusion boosts infant movement classification. [PDF]

open access: yesCommun Med (Lond)
Kulvicius T   +10 more
europepmc   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

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