{"id":773,"date":"2021-04-17T21:54:00","date_gmt":"2021-04-17T21:54:00","guid":{"rendered":"https:\/\/aequip.it\/?post_type=articoli&p=773"},"modified":"2021-04-19T09:27:20","modified_gmt":"2021-04-19T09:27:20","slug":"multi-tissue-and-multi-scale-approach-for-nuclei-segmentation-in-he-stained-images","status":"publish","type":"articoli","link":"https:\/\/aequip.it\/en\/articoli\/multi-tissue-and-multi-scale-approach-for-nuclei-segmentation-in-he-stained-images\/","title":{"rendered":"Multi-tissue and multi-scale approach for nuclei segmentation in H&E stained images"},"excerpt":{"rendered":"

Accurate nuclei detection and segmentation in histological images is essential for many clinical purposes. While manual annotations are time-consuming and operator-dependent, full automated segmentation remains a challenging task due to the high variability of cells intensity, size and morphology. Most of the proposed algorithms for the automated segmentation of nuclei were designed for specific organ or tissues. <\/p>\n","protected":false},"featured_media":809,"template":"","class_list":["post-773","articoli","type-articoli","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nMulti-tissue and multi-scale approach for nuclei segmentation in H&E stained images - Aequip<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aequip.it\/en\/articoli\/multi-tissue-and-multi-scale-approach-for-nuclei-segmentation-in-he-stained-images\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Multi-tissue and multi-scale approach for nuclei segmentation in H&E stained images - Aequip\" \/>\n<meta property=\"og:description\" content=\"Accurate nuclei detection and segmentation in histological images is essential for many clinical purposes. 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