Analysis of Flip-Mirror slide labels- Label classification using Image Morphing Techniques

Abstract

Pramana, an nference initiative, revolutionizes whole slide imaging (WSI) by using proprietary software and scanning hardware to generate highly accurate images. Pramana's cost-effective and turnkey DPaaS archival services unlock the power of historical anatomical pathology, providing researchers and scientists with millions of glass slides that were previously limited in utility. This breakthrough technology meets the future challenges of pathologist shortages and increasing volumes of tissue biopsies, enabling drug and algorithm development. In addition to pioneering a new whole slide imaging paradigm, Pramana's DPaaS archival services have the potential to significantly impact research and innovation in the field of anatomical pathology. These pathology glass slides have rich metadata associated with them in the form of labels. The labels contain printed text, handwritten text, barcodes and several kinds of annotations. Thus, Image processing, NER, OCR and various other techniques are utilized in obtaining this data.