Metadata management for Digital Pathology
Label Extraction and AI for Digital Pathology Tissue-based studies generate large amounts of histology data containing important biological information in the form of imagery and metadata. These digital pathology slides are labeled using text and barcodes for their identification. The older technologies used printed or handwritten labels for specimen labeling. The Label Extraction Solution uses state-of-the-art OCR technologies, ...