1101P Near real-time intraoperative melanoma diagnosis using deep neural networks

Abstract

Intraoperative diagnosis is essential for providing safe and effective care during staged melanoma resections. The existing workflow for intraoperative diagnosis based on H&E staining of processed tissue is time-, resource-, and labor-intensive. Moreover, interpretation of intraoperative histologic images is dependent on a pathology workforce that is contracting and unevenly distributed across the centers where melanoma excisions are performed worldwide.