Empowering digital pathology applications through explainable knowledge extraction tools

• Main Authors: Stefano Marchesin (Author), Fabio Giachelle (Author), Niccolò Marini (Author), Manfredo Atzori (Author), Svetla Boytcheva (Author), Genziana Buttafuoco (Author), Francesco Ciompi (Author), Giorgio Maria Di Nunzio (Author), Filippo Fraggetta (Author), Ornella Irrera (Author), Henning Müller (Author), Todor Primov (Author), Simona Vatrano (Author), Gianmaria Silvello (Author)
• Format: Book
• Published: Elsevier, 2022-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Exa-scale volumes of medical data have been produced for decades. In most cases, the diagnosis is reported in free text, encoding medical knowledge that is still largely unexploited. In order to allow decoding medical knowledge included in reports, we propose an unsupervised knowledge extraction sys...