Scott Doyle

Patents Received

2012, "Malignancy diagnosis using content-based image retreival of tissue histopathology" EP2174263 A1, Anant Madabhushi, Scott Doyle, Michael Feldman, & John Tomaszewski.

Publications

Whitney, J., Corredor-Prada, G., Janowczyk, A., Ganesan, S., Doyle, S., Tomaszewski, J., Feldman, M., Gilmore, H., & Madabhushi, A. (2018). Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. BMC Cancer, 18 (1).
Whitney, J., Corredor-Prada, G., Janowczyk, A., Ganesan, S., Doyle, S., Tomaszewski, J., Feldman, M., Gilmore, H., & Madabhushi, A. (2018). Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. BMC Cancer, 18 (1).
Janowczyk, A., Doyle, S., Gilmore, H., & Madabhushi, A. (2018). A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 6 (3), 270-276.
Janowczyk, A., Doyle, S., Gilmore, H., & Madabhushi, A. (2016). A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization [21681163].
Sridharan, A., Doyle, S., & Madabhushi, A. (2015). Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces.. Journal of pathology informatics, 6 , 41.
Doyle, S., Feldman, M., Shih, N., Tomaszewski, J., & Madabhushi, A. (2012). Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer.. BMC bioinformatics, 13 , 282.
Doyle, S., Feldman, M., Tomaszewski, J., & Madabhushi, A. (2012). A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies.. IEEE transactions on bio-medical engineering, 59 (5), 1205-18.
Doyle, S., Monaco, J., Feldman, M., Tomaszewski, J., & Madabhushi, A. (2011). An active learning based classification strategy for the minority class problem: application to histopathology annotation.. BMC bioinformatics, 12 , 424.
Madabhushi, A., Agner, S., Basavanhally, A., Doyle, S., & Lee, G. (2011). Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 35 (7-8), 506-14.
Madabhushi, A., Doyle, S., Lee, G., Basavanhally, A., Monaco, J., Masters, S., Tomaszewski, J., & Feldman, M. (2010). Integrated diagnostics: a conceptual framework with examples.. Clinical chemistry and laboratory medicine, 48 (7), 989-98.
Alexe, G., Monaco, J., Doyle, S., Basavanhally, A., Reddy, A., Seiler, M., Ganesan, S., Bhanot, G., & Madabhushi, A. (2009). Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging.. Experimental biology and medicine (Maywood, N.J.), 234 (8), 860-79.
Doyle, S., Madabhushi, A., Feldman, M., & Tomaszeweski, J. (2006). A boosting cascade for automated detection of prostate cancer from digitized histology.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 9 (Pt 2), 504-11.
Doyle, S., Rodriguez, C., Madabhushi, A., Tomaszeweski, J., & Feldman, M. (2006). Detecting prostatic adenocarcinoma from digitized histology using a multi-scale hierarchical classification approach.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 1 , 4759-62.