Deep Learning for Virtual Histological Staining of Bright-Field Microscopic Images of Unlabeled Carotid Artery Tissue

• Published in: Molecular imaging and biology Vol. 22; no. 5; pp. 1301 - 1309
• Main Authors: Li, Dan, Hui, Hui, Zhang, Yingqian, Tong, Wei, Tian, Feng, Yang, Xin, Liu, Jie, Chen, Yundai, Tian, Jie
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.10.2020; Springer Nature B.V
• Subjects: Artificial neural networks; Cardiovascular diseases; Carotid arteries; Carotid artery; Deep learning; Image analysis; Image processing; Imaging; Machine learning; Medical imaging; Medicine; Medicine & Public Health; Neural networks; Radiology; Research Article; Staining; Tissue analysis; Tissues; Training; Transfer learning; Veins & arteries; Blind evaluation; Conditional generative adversarial network; Bright-field microscopic imaging; Virtual histological staining

Purpose Histological analysis of artery tissue samples is a widely used method for diagnosis and quantification of cardiovascular diseases. However, the variable and labor-intensive tissue staining procedures hinder efficient and informative histological image analysis. Procedures In this study, we...