Feb. 19, 2024, 5:45 a.m. | H. Fabelo, S. Ortega, A. Szolna, D. Bulters, J. F. Pineiro, S. Kabwama, A. Shanahan, H. Bulstrode, S. Bisshopp, B. R. Kiran, D. Ravi, R. Lazcano, D. M

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.10776v1 Announce Type: cross
Abstract: The use of hyperspectral imaging for medical applications is becoming more common in recent years. One of the main obstacles that researchers find when developing hyperspectral algorithms for medical applications is the lack of specific, publicly available, and hyperspectral medical data. The work described in this paper was developed within the framework of the European project HELICoiD (HypErspectraL Imaging Cancer Detection), which had as a main goal the application of hyperspectral imaging to the delineation …

abstract algorithms applications arxiv brain cancer cancer detection cs.cv data database detection eess.iv human image imaging medical medical data obstacles researchers type work

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