TY  - GEN 
AU  - Priego Torres, Blanca María
AU  - Sánchez Morillo, Daniel
AU  - Fernández Granero, Miguel Ángel
AU  - García-Rojo, Marcial
A4  - Anatomía Patológica, Biología Celular, Histología, Historia de la Ciencia, Medicina Legal y Forense y Toxicología
A4  - Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores
PY  - 2020
SN  - 0957-4174
UR  - http://hdl.handle.net/10498/30087
AB  - In this research, we propose a processing pipeline for the automatic segmentation of stained BC images presenting different types of histopathological patterns. Experimental results on a collection of patches of breast cancer images demonstrate how...
LA  - eng
PB  - PERGAMON-ELSEVIER SCIENCE LTD
KW  - Breast cancer
KW  - Deep learning
KW  - H&E staining
KW  - Segmentation
KW  - Whole-Slide Imaging
TI  - Automatic segmentation of whole-slide H&E stained breast histopathology images using a deep convolutional neural network architecture
DO  - 10.1016/J.ESWA.2020.113387
ER  -