Cross-Boosted Multi-Target Domain Adaptation for Multi-Modality Histopathology Image Translation and Segmentation

• Published in: IEEE journal of biomedical and health informatics Vol. 26; no. 7; pp. 3197 - 3208
• Main Authors: Zhang, Huaqi, Liu, Jie, Wang, Pengyu, Yu, Zekuan, Liu, Weifan, Chen, Huang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; bidirectional cross-domain boosting; Coders; Complementarity; Complementation; cross-frequency feature transfer; Datasets; Digital imaging; Domains; Feature extraction; Fluorescence; Fluorescence microscopy; Frequency modulation; Hafnium; Histopathology; Image analysis; Image color analysis; Image processing; Image segmentation; Medical imaging; Modules; Multi-modality histopathology image; multi-target domain adaptation; Pipelines; Translation

Recent digital pathology workflows mainly focus on mono-modality histopathology image analysis. However, they ignore the complementarity between Haematoxylin & Eosin (H&E) and Immunohistochemically (IHC) stained images, which can provide comprehensive gold standard for cancer diagnosis. To r...