On Spatial Relations for Non-small Cells Lungs Cancer Interpretation

Computers and artificial intelligence affect every field of life nowadays. In medical image 1 interpretation automatic decision making using algorithms are used increasingly in every sub-field 2 and computer aided diagnosis (CAD) is one of the main tools available to medical science today. 3 CAD systems are used as an augmented option for both the medical practitioner and the patients, 4 with image analysis and interpretation being of primary importance. In particular, spatial relations 5 are used in knowledge representation, and these relations can be used for effective medical image 6 interpretation. In this paper, we put forth an algorithm for defining non-small cells lungs cancer 7 (NSCLC) stages in lungs images interpretation using topological spatial relations. We show an 8 application case study in event motion predictions for lung cancer staging scoring tumor, nodes and 9 metastasis (TNM) with combined topological and directional relations. 10

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