Transfer Learning for Cancer Cell Classification
When running this workflow finish executing each section before starting the next. Each portion of the workflow creates files referenced by the next.
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.
1) Unzip the downloaded file and assign class labels: This section unzips the file and assigns class label to each image.
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.
3) Train Model: the final section reads VGG16, adds layers, trains, and scores our new model.