Badea, LiviuLiviuBadeaStănescu, EmilEmilStănescu2025-03-262025-03-262020-01-3110.33436/v30i1y202002https://dspace.apps.devcloud.ici.ro/handle/123456789/44WOS:000522696000002In this paper we present an original application dealing with the classification of histopathological images using Deep Learning. We first describe, briefly, the field of digital histopathology. We then present the use of various convolutional neural architectures for tissue classification based on WSI histopathological images from the GTEx dataset, obtaining classification accuracies around 93-94%.romedical imagingdigital histopathologyDeep LearningArticlehttps://rria.ici.ro/wp-content/uploads/2020/03/03-art.2-Badea_Stanescu.pdf