Related references
Note: Only part of the references are listed.A Review of Domain Adaptation without Target Labels
Wouter M. Kouw et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)
Unsupervised Domain Adaptation for Classification of Histopathology Whole-Slide Images
Jian Ren et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2019)
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
David Tellez et al.
MEDICAL IMAGE ANALYSIS (2019)
Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification
Fuyong Xing et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT I (2019)
Adversarial Stain Transfer for Histopathology Image Analysis
Aicha BenTaieb et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Deep visual domain adaptation: A survey
Mei Wang et al.
NEUROCOMPUTING (2018)
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
Geert Litjens et al.
GIGASCIENCE (2018)
Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images
Maxime W. Lafarge et al.
DEEP LEARNING IN MEDICAL IMAGE ANALYSIS AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT (2017)
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
Abhishek Vahadane et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Domain Generalization for Object Recognition with Multi-task Autoencoders
Muhammad Ghifary et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Color standardization and optimization in Whole Slide Imaging
Yukako Yagi
DIAGNOSTIC PATHOLOGY (2011)
Share Paper
