Image Classification of Uploaded Files Using Streamlit’s Killer New Feature

From: https://towardsdatascience.com/image-classification-of-uploaded-files-using-streamlits-killer-new-feature-7dd6aa35fe0 It’s no secret I’m a massive fan of Streamlit. I think it’s the best way to share early versions of Data Science projects. It’s especially great for demoing your project to a less technical audience. Before investing in frontend developers to build you a proper UI, Streamlit allows you to get some features … Continue reading Image Classification of Uploaded Files Using Streamlit’s Killer New Feature

Predicting Invasive Ductal Carcinoma using Convolutional Neural Network (CNN) in Keras

From: https://towardsdatascience.com/predicting-invasive-ductal-carcinoma-using-convolutional-neural-network-cnn-in-keras-debb429de9a6 In this blog, we will learn how to use CNN in a real world histopathology dataset. Real-world data requires a lot more preprocessing than standard datasets such as MNIST, and we will go through the process of making the data ready for classification and then use CNN to classify the images. I will … Continue reading Predicting Invasive Ductal Carcinoma using Convolutional Neural Network (CNN) in Keras

Breast cancer classification with Keras and Deep Learning

From: https://www.pyimagesearch.com/2019/02/18/breast-cancer-classification-with-keras-and-deep-learning/ In this tutorial, you will learn how to train a Keras deep learning model to predict breast cancer in breast histology images. Back 2012-2013 I was working for the National Institutes of Health (NIH) and the National Cancer Institute (NCI) to develop a suite of image processing and machine learning algorithms to automatically analyze … Continue reading Breast cancer classification with Keras and Deep Learning