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CNN-X-ray-images. Date created/updated: December, 9, 2024.

[Python: numpy, pandas, glob, tqdm, sklearn.utils, shuffle]. Paper Link: Poster Link: SHI CLR’S Cyclical Learning Rates (CLR’s) for improving training accuracies and lowering computational cost Chopade, R. presently with ChestAi, Stanam, A., Anand, N., Shrikant Pawar. Publication: Research Square (Publication date: December 21), collaboration with Indian Institute of Technology, Kharagpur, Dr. Narayanan, Johnson & Johnson, Pennsylvania, USA, Product App. Video, Github, Article link ^^1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ,13, 14, 15. DOI: https://doi.org/10.21203/rs.3.rs-1129014/v1, Issue, Volume, Pages. Product: download

ChestAi CSCT2023

Springer Bioinformatics and Biomedical Engineering. Screenshot 2023-02-28 at 12 02 27 AM

Sustainable Horizons Institute (SHI) and Berkeley Lab Computing Sciences SRP Workshop, Berkeley Lab, California, USA, 7 December, 2021, Application of neural networks for aiding lung diagnosis of lung disorders, by Pawar S.D, R. Chopade and A. Stanam, † †Corresponding author. ††First author. †††Second author. ††††Third author. †††††author. APP: Claflin University, Orangeburg, South Carolina, United States of America (USA). https://www.claflin.edu/ https://www.claflin.edu/academics-research/schools-departments/school-of-natural-sciences-and-mathematics/department-of-mathematics-computer-science/computer-science

CNN_Shrikant.py:'Cardiomegaly','Emphysema','Effusion','Hernia','Nodule','Pneumothorax','Atelectasis','Pleural_Thickening','Mass','Edema','Consolidation','Infiltration','Fibrosis','Pneumonia' X-ray imaging data read, Test-Train Split, Neural, plotting, noise removal, Convolution 2D network training, confusion matrix, accuracy, sensitivity, specificity, precision, recall, confusion matrix, log-loss, and area under curve and receiver operating characteristic, AUC-ROC evaluation. selected function(pd.read_csv, plt.figure, plt.Circle, plt.pie,plot_hist, add_gaussian_noise, Model, model.fit, evaluate_model, network, confusion_matrix, model.predict, model.load_weights, model.compile, model.add, model.summary, plot_confusion_matrix, Sequential, binary_accuracy).

Testing: Score(160px, FE): 0.878; score(160px, FT): 0.879; score(320px, FE): 0.887.

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https://www.r-project.org/ https://www.bioconductor.org/packages/3.21/BiocViews.html#___Software https://bioconductor.org/packages/release/bioc/html/GenomicFeatures.html https://bioconductor.org/packages/release/bioc/html/clusterProfiler.html https://www.bioconductor.org/packages/release/bioc/html/enrichplot.html https://ggplot2.tidyverse.org/ https://cran.r-project.org/package=randomForest https://topepo.github.io/caret/ https://bioconductor.org/packages/release/bioc/html/DESeq2.html https://cran.r-project.org/package=missForest https://bioconductor.org/packages/release/bioc/html/affy.html https://bioconductor.org/packages/release/bioc/html/limma.html https://rstudio.github.io/DT/ https://bioconductor.org/packages/release/bioc/html/edgeR.html https://apps.cytoscape.org/apps/cytohubba https://cytoscape.org/ https://string-db.org/ https://www.gsea-msigdb.org/ https://bioconductor.org/packages//2.13/bioc/html/BGmix.html https://ggplot2.tidyverse.org/ https://www.htmlwidgets.org/ https://cran.r-project.org/package=cluster https://cran.r-project.org/package=fpc https://cran.r-project.org/package=survival https://www.bioconductor.org/packages/release/bioc/html/multiClust.html https://www.bioconductor.org/packages/release/bioc/html/GEOquery.html https://cran.r-project.org/package=dendextend https://cran.r-project.org/package=amap https://www.bioconductor.org/packages/release/bioc/html/preprocessCore.html https://www.bioconductor.org/packages/3.21/BiocViews.html#___Software https://shiny.posit.co/ https://cran.r-project.org/package=ggbeeswarm https://cran.r-project.org/package=speedglm https://magrittr.tidyverse.org/

https://www.python.org/ https://scikit-learn.org/ https://pandas.pydata.org/ https://matplotlib.org/ https://www.tidyverse.org/ https://numpy.org/ https://www.tensorflow.org/ https://kivy.org/ https://pydicom.github.io/ https://docs.python.org/3/library/shlex.html https://scipy.org/ https://scikit-image.org/ https://seaborn.pydata.org/ https://librosa.org/doc/ https://docs.python.org/3/library/glob.html https://pytorch.org/ https://pydicom.github.io/ https://biopython.org/docs/dev/api/Bio.Blast.html https://pypi.org/project/openai/0.26.5/ https://docs.python.org/3/library/tkinter.html https://docs.fast.ai/ https://pypi.org/project/torchvision/

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