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Transfer_​Learning_​for_​Image_​Cancer_​Cell_​Classification

<p>Transfer Learning for Cancer Cell Classification<br><br>When running this workflow finish executing each section before starting the next. Each portion of the workflow creates files referenced by the next.<br></p><p>Note: Download the dataset from Kaggle (https://www.kaggle.com/datasets/andrewmvd/malignant-lymphoma-classification) and save the zip file in the _data/downloads folder relative to your current workflow.</p><p><br>1) Unzip the downloaded file and assign class labels: This section unzips the file and assigns class label to each image.<br><br>2) Preprocessing: this section reads all the images into a knime format and chops them up into patches that will be fed into our model later.<br><br>3) Train Model: the final section reads VGG16, adds layers, trains, and scores our new model.</p>

URL: Dataset information https://www.kaggle.com/datasets/andrewmvd/malignant-lymphoma-classification
URL: Dataset file https://www.kaggle.com/datasets/andrewmvd/malignant-lymphoma-classification/download?datasetVersionNumber=1
URL: VGG16 CNN http://www.robots.ox.ac.uk/~vgg/research/very_deep/

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