A Model for the Use of Machine Learning in the Detection of Cancer by Means of Thermographic Images in a Mobile Environment

Mobile technology and thermographic imaging have evolved to a point where their confluence point yields a promise greater than their individual parts. One such application may be the detection of breast cancer; yielding a non-invasive, portable solution. This study presents a model for the use of machine learning in the detection of cancer by means of thermographic images in a mobile environment. Aspects of the model, such as the training of a machine learning model for the classification of thermographic images have been implemented and a high-level system design is suggested for the further implementation of the model.