Impact of H&E stain normalization on deep learning models in cancer image classification: performance, complexity, and trade-offs

• Main Authors: Madusanka, Nuwan, Jayalath, Pramudini, Fernando, Dileepa, Yasakethu, Lasith, Lee, Byeong-Il
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2023
• 主題: Engineering::Computer science and engineering; Deep Learning; Computational Complexity
• 在線閱讀: https://hdl.handle.net/10356/171620
• 機構: Nanyang Technological University

Accurate classification of cancer images plays a crucial role in diagnosis and treatment planning. Deep learning (DL) models have shown promise in achieving high accuracy, but their performance can be influenced by variations in Hematoxylin and Eosin (H&E) staining techniques. In this study, we...