Image4_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF by 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 by 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 by 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 by 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 by 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. …”

Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy by Ayla Arslan (17943365)

“…Initially, separate algorithms based on sequence homology are utilized to assess this variant set. …”

Data and metadata supporting the published article: Upregulation of lipid metabolism genes in the breast prior to cancer diagnosis by Natascia Marino (9232357)

“…</p><p>The following techniques are described in more detail in the published article: breast tissue microdissection and RNA extraction, whole transcriptome sequencing, data analysis, quantitative real time polymerase chain reaction (qPCR), immunohistochemistry, primary breast epithelial cells: cultures and immunofluorescence, and statistical analysis.…”

Intelligent Healthcare Systems by Vania Vieira Estrela (9084371)

Subjects:

Processed data files used in Schwartze et al 2024 by Adam Rouse (16484895)

“…</p><p><br></p><p dir="ltr">data_processiong.zip is provided as reference of matlab code used for processing</p><p dir="ltr">Trial timing:</p><p dir="ltr">Six timing events are present for each trial.…”

EKC virus-specific HMGB1 secretion. by Amrita Saha (1771837)

CSPP instance by peixiang wang (19499344)

“…<p dir="ltr">This Python script (<code>instance_generator.py</code>) is a tool designed to <b>programmatically generate synthetic instance data for container stowage and logistics problems.…”

Training and test routes for simulated agents navigating using insect inspired strategies by Amany Said Amin (11234025)

“…<p dir="ltr">These folders contain train routes, test routes and terrain information (labelled as per filenames) for a set of insect-inspired route navigation experiments conducted in Unity.</p><p dir="ltr">For code analysing this data see: <a href="https://github.com/amanyazevedoamin/RecapitulatedTrackConvergence" rel="noreferrer" target="_blank">https://github.com/amanyazevedoamin/RecapitulatedTrackConvergence</a></p><p dir="ltr">All trajectories are 2D and stored as csv files with headings of 'x','y' and 'heading' (degrees)</p><p dir="ltr">The folder names encode the following:</p><p dir="ltr">The first 3 characters corresponds to the training route length: "EXT" is 20m, "LON" is a longer 100m training route</p><p dir="ltr">The second 3 characters refer to the route recapitulation strategy in use.…”

An ecosystem of community members and experts to track multidimensional equity in healthcare coverage and health outcomes by Bryan Patenaude (12264504)

“…Partners co-developed the protocol and led primary data collection. The results were featured in presentations from the partners to the Ugandan and Bangladeshi ministries of health and regional health offices, helping to advance immunization efforts and supplement analysts’ administrative data to monitor health system performance. …”

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by 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.…”