Related references
Note: Only part of the references are listed.The impact of site-specific digital histology signatures on deep learning model accuracy and bias
Frederick M. Howard et al.
NATURE COMMUNICATIONS (2021)
Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations
Sophia J. Wagner et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT VIII (2021)
The coming 15 years in gynaecological pathology: digitisation, artificial intelligence, and new technologies
David A. Farnell et al.
HISTOPATHOLOGY (2020)
SciPy 1.0: fundamental algorithms for scientific computing in Python
Pauli Virtanen et al.
NATURE METHODS (2020)
Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology
Massimo Salvi et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models
Zabit Hameed et al.
SENSORS (2020)
Experimental Assessment of Color Deconvolution and Color Normalization for Automated Classification of Histology Images Stained with Hematoxylin and Eosin
Francesco Bianconi et al.
CANCERS (2020)
Class-Agnostic Weighted Normalization of Staining in Histopathology Images Using a Spatially Constrained Mixture Model
Sobhan Shafiei et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Adaptive color deconvolution for histological WSI normalization
Yushan Zheng et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2019)
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Gabriele Campanella et al.
NATURE MEDICINE (2019)
Adversarial Stain Transfer for Histopathology Image Analysis
Aicha BenTaieb et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
A study about color normalization methods for histopathology images
Santanu Roy et al.
MICRON (2018)
Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning
Nicolas Coudray et al.
NATURE MEDICINE (2018)
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Babak Ehteshami Bejnordi et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2017)
Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation
Najah Alsubaie et al.
PLOS ONE (2017)
Stain Specific Standardization of Whole-Slide Histopathological Images
Babak Ehteshami Bejnordi et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
Abhishek Vahadane et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
A method for normalizing pathology images to improve feature extraction for quantitative pathology
Allison Tam et al.
MEDICAL PHYSICS (2016)
A Complete Color Normalization Approach to Histopathology Images Using Color Cues Computed From Saturation-Weighted Statistics
Xingyu Li et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2015)
New Colors for Histology: Optimized Bivariate Color Maps Increase Perceptual Contrast in Histological Images
Jakob Nikolas Kather et al.
PLOS ONE (2015)
A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution
Adnan Mujahid Khan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2014)
Blind Color Decomposition of Histological Images
Milan Gavrilovic et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2013)
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
Christina Curtis et al.
NATURE (2012)
Color standardization and optimization in Whole Slide Imaging
Yukako Yagi
DIAGNOSTIC PATHOLOGY (2011)
Color transfer between images
E Reinhard et al.
IEEE COMPUTER GRAPHICS AND APPLICATIONS (2001)
Share Paper
