TY - GEN
T1 - Spatial interaction analysis with graph based mathematical morphology for histopathology
AU - Ben Cheikh, Bassem
AU - Elie, Nicolas
AU - Plancoulaine, Benoit
AU - Bor-Angelier, Catherine
AU - Racoceanu, Daniel
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/15
Y1 - 2017/6/15
N2 - Exploring the spatial interactions between tumor and the inflammatory microenvironment using digital pathology image analysis can contribute to a better understanding of the immune function and tumor heterogeneity. We address this by providing tools able to reveal various metrics describing spatial relationships in the cancer ecosystem. The approach comprises nuclei segmentation and classification, using supervised learning algorithm, to detect lymphoid aggregates and tumor patterns, and spatial distribution quantification using sparse sets' mathematical morphology. Tumor patterns were classified into three groups: surrounded by lymphocytes, close to lymphoid aggregates or distant and might be protected from immune attack. The approach provides statistical assessment and comprehensive visual representation of the inflammatory tumor microenvironment.
AB - Exploring the spatial interactions between tumor and the inflammatory microenvironment using digital pathology image analysis can contribute to a better understanding of the immune function and tumor heterogeneity. We address this by providing tools able to reveal various metrics describing spatial relationships in the cancer ecosystem. The approach comprises nuclei segmentation and classification, using supervised learning algorithm, to detect lymphoid aggregates and tumor patterns, and spatial distribution quantification using sparse sets' mathematical morphology. Tumor patterns were classified into three groups: surrounded by lymphocytes, close to lymphoid aggregates or distant and might be protected from immune attack. The approach provides statistical assessment and comprehensive visual representation of the inflammatory tumor microenvironment.
KW - Digital histopathology
KW - Graph representation
KW - Mathematical morphology
KW - Spatial relation modeling
KW - Tumor-immune system interaction
UR - http://www.scopus.com/inward/record.url?scp=85023194743&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2017.7950642
DO - 10.1109/ISBI.2017.7950642
M3 - Conference contribution
AN - SCOPUS:85023194743
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 813
EP - 817
BT - 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
PB - IEEE Computer Society
T2 - 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
Y2 - 18 April 2017 through 21 April 2017
ER -
