Cancers are significant diseases that seriously threaten human health.Accurate diagnosis and efficacy assessment are the keys to improving clinical treatment and reducing cancer-related mortality.With the further development of artificial intelligence in medical imaging,radiomics and pathomics have emerged and shown great potential in diagnosing and treating cancers.However,at the same time,radiomics and pathomics have also shown their limitations of lacking biological validation and macroscopic properties of cancers,respectively.Combining them across modalities and scales is necessary to complement each other's strengths.This paper reviewed the progress,limitations,and future perspectives of radiomics and pathomics workflows and their combined application in cancers.
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