A regulatory science initiative to harmonize and standardize digital pathology and machine learning processes to speed up clinical innovation to patients

• Main Authors: Hetal Desai Marble (Author), Richard Huang (Author), Sarah Nixon Dudgeon (Author), Amanda Lowe (Author), Markus D Herrmann (Author), Scott Blakely (Author), Matthew O Leavitt (Author), Mike Isaacs (Author), Matthew G Hanna (Author), Ashish Sharma (Author), Jithesh Veetil (Author), Pamela Goldberg (Author), Joachim H Schmid (Author), Laura Lasiter (Author), Brandon D Gallas (Author), Esther Abels (Author), Jochen K Lennerz (Author)
• Format: Book
• Published: Elsevier, 2020-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Unlocking the full potential of pathology data by gaining computational access to histological pixel data and metadata (digital pathology) is one of the key promises of computational pathology. Despite scientific progress and several regulatory approvals for primary diagnosis using whole-slide imagi...