CADIA: Intelligent Tumor Characterization from WSIs at a Health System Scale

Date: 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

@Article {
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},
}
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