Editorial Commentary


Automated quantitative assessment of oncological disease progression using deep learning

Yiftach Barash, Eyal Klang

Abstract

Assessing oncological disease progression is a major part of radiologists’ work. Today, such assessment is usually done by either eyeballing or few 2D diameter measurements.

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