This document describes my part of the 2nd prize solution to the Data Science Bowl 2017 hosted by Kaggle.com. I teamed up with Daniel Hammack. His part of the solution is decribed here The goal of the challenge was to predict the development of lung cancer in a patient given a set of CT images. Detailed descriptions of the challenge can be found on the Kaggle competition page and this blog post by Elias Vansteenkiste. My solution (and that of Daniel) was mainly based on nodule detectors with a 3D convolutional neural network architecture. I worked on a windows 64 system using the Keras library in combination with the just released windows version of TensorFlow.