Optical Assessment of Tear Glucose by Smart Biosensor Based on Nanoparticle Embedded Contact Lens حسب Hee-Jae Jeon (4614121)

"…Additionally, we propose an image processing algorithm that automatically optimizes the measurement accuracy even in the presence of image blurring, possibly caused by breathing, subtle movements, and eye blinking. …"

Optical Assessment of Tear Glucose by Smart Biosensor Based on Nanoparticle Embedded Contact Lens حسب Hee-Jae Jeon (4614121)

"…Additionally, we propose an image processing algorithm that automatically optimizes the measurement accuracy even in the presence of image blurring, possibly caused by breathing, subtle movements, and eye blinking. …"

Hyperparameters of the LSTM Model. حسب Ahmed M. Elshewey (21463867)

"…Out of all the models, LSTM produced the best results. The AD-PSO-Guided WOA algorithm was used to adjust the hyperparameters for the LSTM model. …"

Prediction results of individual models. حسب Ahmed M. Elshewey (21463867)

"…Out of all the models, LSTM produced the best results. The AD-PSO-Guided WOA algorithm was used to adjust the hyperparameters for the LSTM model. …"

The AD-PSO-Guided WOA LSTM framework. حسب Ahmed M. Elshewey (21463867)

"…Out of all the models, LSTM produced the best results. The AD-PSO-Guided WOA algorithm was used to adjust the hyperparameters for the LSTM model. …"

Example of simulated calcium imaging dataset. حسب Virgil Christian Garcia Castillo (19688355)

"…In this study, we report an ROI selection method using a series of adaptive binarizations with a gaussian method and morphological image processing. The parameters for each operation such as the kernel size, sigma and footprint size were optimized. …"

Probability density of each bin of accuracy. حسب Virgil Christian Garcia Castillo (19688355)

"…In this study, we report an ROI selection method using a series of adaptive binarizations with a gaussian method and morphological image processing. The parameters for each operation such as the kernel size, sigma and footprint size were optimized. …"

ROI masks generated when using 2.5 σ1. حسب Virgil Christian Garcia Castillo (19688355)

Image4_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF حسب Cédric Allier (4180903)

"…The networks have been trained to predict quantitative representation of the cell measurements that can be next translated into measurement lists with a local maxima algorithm. In this article, we discuss the performance and limitations of this novel deep learning-based quantification pipeline in comparison with a standard image processing solution. …"

Image1_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF حسب Cédric Allier (4180903)

"…The networks have been trained to predict quantitative representation of the cell measurements that can be next translated into measurement lists with a local maxima algorithm. In this article, we discuss the performance and limitations of this novel deep learning-based quantification pipeline in comparison with a standard image processing solution. …"

Image3_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF حسب Cédric Allier (4180903)

"…The networks have been trained to predict quantitative representation of the cell measurements that can be next translated into measurement lists with a local maxima algorithm. In this article, we discuss the performance and limitations of this novel deep learning-based quantification pipeline in comparison with a standard image processing solution. …"

Image2_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF حسب Cédric Allier (4180903)

"…The networks have been trained to predict quantitative representation of the cell measurements that can be next translated into measurement lists with a local maxima algorithm. In this article, we discuss the performance and limitations of this novel deep learning-based quantification pipeline in comparison with a standard image processing solution. …"

DataSheet1_CNN-Based Cell Analysis: From Image to Quantitative Representation.pdf حسب Cédric Allier (4180903)

"…The networks have been trained to predict quantitative representation of the cell measurements that can be next translated into measurement lists with a local maxima algorithm. In this article, we discuss the performance and limitations of this novel deep learning-based quantification pipeline in comparison with a standard image processing solution. …"

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) حسب Erola Fenollosa (20977421)

"…</li><li>The dataframe of extracted colour features from all leaf images and lab variables (ecophysiological predictors and variables to be predicted)</li><li>Set of scripts used for image pre-processing, features extraction, data analytsis, visualization and Machine learning algorithms training, using ImageJ, R and Python.…"