The Novel Label Free Staining Algorithm in Digital Pathology
Authors
황석민 ; 정연우 ; 김동범 ; 이승아 ; 조남훈 ; 이종하
Citation
융합신호처리학회논문지, Vol.24(1) : 76-81, 2023-03
Journal Title
융합신호처리학회논문지
Issue Date
2023-03
Keywords
Artificial Intelligence ; Digital Pathology ; Computer Aided Diagnostic ; Data Processing
Abstract
To distinguish cancer cells from normal cells, H&E (Hematoxylin & Eosin) staining is required. Pathological staining requires a lot of money and time. Recently, a digital dyeing method has been introduced to reduce such cost and time. In this paper, we propose a novel digital pathology algorithms. The first algorithm is the Pair method. This method learns the dyed phase image and unstained amplitude image taken by FPM (Fourier Ptychographic Microscopy) and converts it into a dyed amplitude image. The second algorithm is the unpair method. This method use the stained and unstained fluorescence microscopic images for modeling. In this study, digital staining was performed using a generative adversarial network (GAN). From the experimental results, we noticed that both the pair and unpair algorithms shows the excellent performance.