Paper Info
Title
Architectural patterns for differential diagnosis of proliferative breast lesions from histopathological images
Abstract
The differential diagnosis of proliferative breast lesions, benign usual ductal hyperplasia (UDH) versus malignant ductal carcinoma in situ (DCIS) is challenging. This involves a pathologist examining histopathologic sections of a biopsy using a light microscope, evaluating tissue structures for their architecture or size, and assessing individual cell nuclei for their morphology. Imposing diagnostic boundaries on features that otherwise exist on a continuum going from benign to atypia to malignant is a challenge. Current computational pathology methods have focused primarily on nuclear atypia in drawing these boundaries. In this paper, we improve on these approaches by encoding for both cellular morphology and spatial architectural patterns. Using a publicly available breast lesion database consisting of UDH and three different grades of DCIS, we improve the classification accuracy by 10% over the state-of-the-art method for discriminating UDH and DCIS. For the four way classification of UDH and the three grades of DCIS, our method improves the results by 6% in accuracy, 8% in micro-AUC, and 19% in macro-AUC.
Year
DOI
Venue
2017
10.1109/ISBI.2017.7950490
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)
Keywords
Field
DocType
Breast Cancer,DCIS,Computational Pathology,Architectural Patterns,Classification
Nuclear atypia,Ductal carcinoma,Cellular Morphology,Computer science,Biopsy,Breast lesion,Atypia,Radiology,Architectural pattern,Pathology,Differential diagnosis
Conference
Volume
ISBN
Citations 
2017
978-1-5090-1173-5
1
PageRank 
References 
Authors
0.37
4
5
Name
Order
Citations
PageRank
Luong Nguyen121.07
Akif Burak Tosun21319.00
Jeffrey L. Fine321.41
D. Lansing Taylor461.79
S. Chakra Chennubhotla510.37