Using TensorFlow and Inception to Diagnose Breast Cancer by Stephen Morrell, PhD student in digital imaging at UCL Inception v4 achieved 97% accuracy classifying photographs into 1000 classes which surpasses human accuracy. We are applying this to breast cancer diagnosis where the classification of mammograms is often inaccurate with up to 25% of cancers missed on the first screen. Speaker: Stephen Morrell by PhD student in digital imaging at UCL. Stephen is a PhD student in digital imaging at UCL. Previously I was a derivative structurer and worked in investment banking for 20 years.