mlsanityData to 7 Oct 2026

The State of Applying Artificial Intelligence to Tissue Imaging for Cancer Research and Early Detection

arXiv 2306.16989 ↗First posted 29 Jun 2023q-bio.TO cs.CV eess.IVcited by 0

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Abstract (arXiv)

Artificial intelligence represents a new frontier in human medicine that could save more lives and reduce the costs, thereby increasing accessibility. As a consequence, the rate of advancement of AI in cancer medical imaging and more particularly tissue pathology has exploded, opening it to ethical and technical questions that could impede its adoption into existing systems. In order to chart the path of AI in its application to cancer tissue imaging, we review current work and identify how it can improve cancer pathology diagnostics and research. In this review, we identify 5 core tasks that models are developed for, including regression, classification, segmentation, generation, and compression tasks. We address the benefits and challenges that such methods face, and how they can be adapted for use in cancer prevention and treatment. The studies looked at in this paper represent the beginning of this field and future experiments will build on the foundations that we highlight.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 29 of its 134 references that are in the map. First posted on arXiv 29 Jun 2023.

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29 of 134 references.

References · 29

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17 more
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