Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness
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
Advancing semantic segmentation: Enhanced UNet algorithm with attention mechanism and deformable convolution. [PDF]
Sahragard E, Farsi H, Mohamadzadeh S.
europepmc +1 more source
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
A Review of Research on Fruit and Vegetable Picking Robots Based on Deep Learning. [PDF]
Tan Y, Liu X, Zhang J, Wang Y, Hu Y.
europepmc +1 more source
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
Improving ocean reanalyses of observationally sparse regions with transfer learning. [PDF]
Lentz S, Brune S, Kadow C, Baehr J.
europepmc +1 more source
Cellpose+, a Morphological Analysis Tool for Feature Extraction of Stained Cell Images
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]
Kulvicius T+10 more
europepmc +1 more source
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
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
Determining the Level of Threat in Maritime Navigation Based on the Detection of Small Floating Objects with Deep Neural Networks. [PDF]
Łącki M.
europepmc +1 more source