A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes.

MLA

Esteban, Ángel E., et al. “A New Optical Density Granulometry-Based Descriptor for the Classification of Prostate Histological Images Using Shallow and Deep Gaussian Processes.” Computer Methods and Programs in Biomedicine, vol. 178, Sept. 2019, pp. 303–17. EBSCOhost, https://doi.org/10.1016/j.cmpb.2019.07.003.

APA

Esteban, Á. E., López-Pérez, M., Colomer, A., Sales, M. A., Molina, R., & Naranjo, V. (2019). A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes. Computer Methods and Programs in Biomedicine, 178, 303–317. https://doi.org/10.1016/j.cmpb.2019.07.003

Chicago

Esteban, Ángel E, Miguel López-Pérez, Adrián Colomer, María A Sales, Rafael Molina, and Valery Naranjo. 2019. “A New Optical Density Granulometry-Based Descriptor for the Classification of Prostate Histological Images Using Shallow and Deep Gaussian Processes.” Computer Methods and Programs in Biomedicine 178 (September): 303–17. doi:10.1016/j.cmpb.2019.07.003.