{"id":10685,"date":"2023-01-12T14:19:49","date_gmt":"2023-01-12T14:19:49","guid":{"rendered":"https:\/\/staging.impdiagnostics.com\/2023\/01\/12\/imp-guidelines-for-digital-annotation-published-in-the-modern-pathology-journal\/"},"modified":"2024-03-20T18:24:39","modified_gmt":"2024-03-20T18:24:39","slug":"imp-guidelines-for-digital-annotation-published-in-the-modern-pathology-journal","status":"publish","type":"post","link":"https:\/\/impdiagnostics.com\/en\/news\/imp-guidelines-for-digital-annotation-published-in-the-modern-pathology-journal\/","title":{"rendered":"IMP Guidelines for Digital Annotation published in the “Modern Pathology” journal."},"content":{"rendered":"\n

As a result of the vast experience gained in developing the first prototype algorithm to support the diagnosis of Color Rectal Cancer, the IMP Diagnostics R&D team’s annotation Guidelines are now shared.<\/p>\n\n

\u201cAnnotating for Artificial Intelligence Applications in Digital Pathology: A Practical Guide for Pathologists and Researchers\u201d<\/strong> is the title of the new article published in the “Modern Pathology” journal. A Practical Guide for Pathologists and Researchers dedicated to the development of Artificial Intelligence tools to support diagnosis. <\/p>\n\n

This is the latest scientific article published by the team that integrates IMP Diagnostics and INESC-TEC researchers. <\/p>\n\n

Access the Scientific Article here<\/a>.<\/p>\n\n

\"\"<\/figure><\/div>\n","protected":false},"excerpt":{"rendered":"

As a result of the vast experience gained in developing the first prototype algorithm to 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