TY - GEN
T1 - Structure-preserved color normalization for histological images
AU - Vahadane, Abhishek
AU - Peng, Tingying
AU - Albarqouni, Shadi
AU - Baust, Maximilian
AU - Steiger, Katja
AU - Schlitter, Anna Melissa
AU - Sethi, Amit
AU - Esposito, Irene
AU - Navab, Nassir
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/21
Y1 - 2015/7/21
N2 - Automated image processing and quantification are increasingly gaining attention in the field of digital pathology. However, a common problem that encumbers computerized analysis is the color variation in histology, due to the use of different microscopes/scanners, or inconsistencies in tissue preparation. In this paper, we present a novel color normalization technique to bring a histological image (source image) into a different color appearance of a second image (target image), which therefore standardizes the color representation of both images. In particular, by incorporating biological stain-sparse regularized stain separation, our color normalization technique preserves the structural information of the source image after color normalization, which is very important for subsequent image analysis. Both qualitative and quantitative validation demonstrates the superior performance of our stain separation and color normalization techniques.
AB - Automated image processing and quantification are increasingly gaining attention in the field of digital pathology. However, a common problem that encumbers computerized analysis is the color variation in histology, due to the use of different microscopes/scanners, or inconsistencies in tissue preparation. In this paper, we present a novel color normalization technique to bring a histological image (source image) into a different color appearance of a second image (target image), which therefore standardizes the color representation of both images. In particular, by incorporating biological stain-sparse regularized stain separation, our color normalization technique preserves the structural information of the source image after color normalization, which is very important for subsequent image analysis. Both qualitative and quantitative validation demonstrates the superior performance of our stain separation and color normalization techniques.
KW - Histopathology image
KW - color normalization
KW - non-negative matrix factorization
KW - stain separation
UR - http://www.scopus.com/inward/record.url?scp=84944328383&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2015.7164042
DO - 10.1109/ISBI.2015.7164042
M3 - Conference contribution
AN - SCOPUS:84944328383
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1012
EP - 1015
BT - 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
PB - IEEE Computer Society
T2 - 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Y2 - 16 April 2015 through 19 April 2015
ER -