Risk stratification of colorectal cancer using artificial intelligence based analysis of nanoscale chromatin modifications

Andrew S. Chang; Sravya Prabhala; Ali Daneshkhah; Hariharan Subramanian; Vadim Backman

doi:10.1117/12.2608366

2 March 2022 Risk stratification of colorectal cancer using artificial intelligence based analysis of nanoscale chromatin modifications

Andrew S. Chang, Sravya Prabhala, Ali Daneshkhah, Hariharan Subramanian, Vadim Backman

Author Affiliations +

Proceedings Volume PC11972, Label-free Biomedical Imaging and Sensing (LBIS) 2022; PC1197208 (2022) https://doi.org/10.1117/12.2608366
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Partial Wave Spectroscopy (PWS) is a nanoscale sensitive imaging technique, emerging as a potent modality for minimally invasive and cost-efficient early risk stratification for colorectal cancer. Feature engineering on the PWS map of nuclear chromatin structures, we developed 50 features extracted from the map as potentially representative of future colorectal cancer development risk. Along with feature extraction utilizing convolutional neural networks, classification model is developed with 10-fold cross validation from a multicenter data consisting of a total of 187 patients. Our newly developed feature engineering results in improved performance of the early risk stratification model for colorectal cancer.

Conference Presentation

Citation Download Citation

Andrew S. Chang, Sravya Prabhala, Ali Daneshkhah, Hariharan Subramanian, and Vadim Backman "Risk stratification of colorectal cancer using artificial intelligence based analysis of nanoscale chromatin modifications", Proc. SPIE PC11972, Label-free Biomedical Imaging and Sensing (LBIS) 2022, PC1197208 (2 March 2022); https://doi.org/10.1117/12.2608366

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