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A Nasal Cytology Dataset for Object Detection and Deep Learning
April 23, 2024, 4:46 a.m. | Mauro Camporeale, Giovanni Dimauro, Matteo Gelardi, Giorgia Iacobellis, Mattia Sebastiano Ladisa, Sergio Latrofa, Nunzia Lomonte
cs.CV updates on arXiv.org arxiv.org
Abstract: Nasal Cytology is a new and efficient clinical technique to diagnose rhinitis and allergies that is not much widespread due to the time-consuming nature of cell counting; that is why AI-aided counting could be a turning point for the diffusion of this technique. In this article we present the first dataset of rhino-cytological field images: the NCD (Nasal Cytology Dataset), aimed to train and deploy Object Detection models to support physicians and biologists during clinical …
abstract arxiv clinical cs.ai cs.cv dataset deep learning detection diffusion nature object type
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