TY  - GEN 
AU  - Esteban, Ángel E.
AU  - López-Pérez, Miguel
AU  - Colomer, Adrián
AU  - Sales, María A.
AU  - Molina, Rafael
AU  - Naranjo, Valery
PY  - 2019
UR  - https://hdl.handle.net/10481/100288
AB  - Background and objective: Prostate cancer is one of the most common male tumors. The increasing use of whole slide digital scanners has led to an enormous interest in the application of machine learning techniques to histopathological image...
LA  - eng
PB  - Elsevier
KW  - Prostate Cancer
KW  - Histopathological Images
KW  - Gaussian Processes
KW  - Variational Inference
KW  - Granulometries
KW  - Deep Gaussian Processes
TI  - A New Optical Density Granulometry-Based Descriptor for the Classification of Prostate Histological Images Using Shallow and Deep Gaussian Processes
DO  - 10.1016/j.cmpb.2019.07.003
ER  -