{"id":774,"date":"2021-04-17T21:54:57","date_gmt":"2021-04-17T21:54:57","guid":{"rendered":"https:\/\/aequip.it\/?post_type=articoli&p=774"},"modified":"2021-04-19T21:52:09","modified_gmt":"2021-04-19T21:52:09","slug":"the-impact-of-pre-and-post-image-processing-techniques-on-deep-learning-frameworks-a-comprehensive-review-for-digital-pathology-image-analysis","status":"publish","type":"articoli","link":"https:\/\/aequip.it\/en\/papers\/the-impact-of-pre-and-post-image-processing-techniques-on-deep-learning-frameworks-a-comprehensive-review-for-digital-pathology-image-analysis\/","title":{"rendered":"The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis"},"excerpt":{"rendered":"

Recently, deep learning frameworks have rapidly become the main methodology for analyzing medical images. Due to their powerful learning ability and advantages in dealing with complex patterns, deep learning algorithms are ideal for image analysis challenges, particularly in the field of digital pathology.\u00a0<\/p>\n","protected":false},"featured_media":806,"template":"","class_list":["post-774","articoli","type-articoli","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nThe impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis - 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\/papers\/the-impact-of-pre-and-post-image-processing-techniques-on-deep-learning-frameworks-a-comprehensive-review-for-digital-pathology-image-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis - Aequip\" \/>\n<meta property=\"og:description\" content=\"Recently, deep learning frameworks have rapidly become the main methodology for analyzing medical images. 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