Addressing persistent challenges in digital image analysis of cancerous tissues.

ABSTRACT: The National Cancer Institute (NCI) supports many research programs and consortia, many of which use imaging as a major modality for characterizing cancerous tissue. A trans-consortia Image Analysis Working Group (IAWG) was established in 2019 with a mission to disseminate imaging-related work and foster collaborations. In 2022, the IAWG held a virtual hackathon focused on addressing challenges of analyzing high dimensional datasets from fixed cancerous tissues. Standard image processing techniques have automated feature extraction, but the next generation of imaging data requires more advanced methods to fully utilize the available information. In this perspective, we discuss current limitations of the automated analysis of multiplexed tissue images, the first steps toward deeper understa

SUBMITTER: Prabhakaran S 

PROVIDER: S-EPMC10401923 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature