April 30, 2024, 4:43 a.m. | Areej Alsaafin, Peyman Nejat, Abubakr Shafique, Jibran Khan, Saghir Alfasly, Ghazal Alabtah, H. R. Tizhoosh

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.17704v1 Announce Type: cross
Abstract: Digital pathology and the integration of artificial intelligence (AI) models have revolutionized histopathology, opening new opportunities. With the increasing availability of Whole Slide Images (WSIs), there's a growing demand for efficient retrieval, processing, and analysis of relevant images from vast biomedical archives. However, processing WSIs presents challenges due to their large size and content complexity. Full computer digestion of WSIs is impractical, and processing all patches individually is prohibitively expensive. In this paper, we propose …

abstract analysis and analysis archives artificial artificial intelligence arxiv availability biomedical challenges cs.cv cs.lg demand digital digital pathology eess.iv however image image processing images integration intelligence opportunities pathology processing retrieval splice type vast

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