An AI-Augmented Lesion Detection Framework For Liver Metastases With\n Model Interpretability

Abstract

Colorectal cancer (CRC) is the third most common cancer and the second\nleading cause of cancer-related deaths worldwide. Most CRC deaths are the\nresult of progression of metastases. The assessment of metastases is done using\nthe RECIST criterion, which is time consuming and subjective, as clinicians\nneed to manually measure anatomical tumor sizes. AI has many successes in image\nobject detection, but often suffers because the models used are not\ninterpretable, leading to issues in trust and implementation in the clinical\nsetting. We propose a framework for an AI-augmented system in which an\ninteractive AI system assists clinicians in the metastasis assessment. We\ninclude model interpretability to give explanations of the reasoning of the\nunderlying models.\n

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