CADIA: Intelligent Tumor Characterization from WSIs at a Health System Scale
Autores: Rodrigo Cilla Blanca Zufiria Gerbolés
Fecha: 21.09.2020
Journal of Pathology Informatics
Abstract
CADIA project has created an intelligent WSI processing system for the Sistema Galego de Saude (Galician Regional Health System) to locate and characterize tumor regions in routinary H&E stained tissues from breast biopsies. The system classifies the regions into Fibroadenoma, Ductal Carcinoma In-Situ, Lobular Carcinoma In-Situ. Ductal Carcinoma Invasive or Lobular Carcinoma Invasive.
BIB_text
title = {CADIA: Intelligent Tumor Characterization from WSIs at a Health System Scale},
journal = {Journal of Pathology Informatics},
keywds = {
cadia, digital pathology,
}
abstract = {
CADIA project has created an intelligent WSI processing system for the Sistema Galego de Saude (Galician Regional Health System) to locate and characterize tumor regions in routinary H&E stained tissues from breast biopsies. The system classifies the regions into Fibroadenoma, Ductal Carcinoma In-Situ, Lobular Carcinoma In-Situ. Ductal Carcinoma Invasive or Lobular Carcinoma Invasive.
}
doi = {10.4103/sjsm.sjsm_6_19},
date = {2020-09-21},
}