I nstitutskolloquium - Uniklinik RWTH Aachen

Institutskolloquium
Thema:
Analysis of Breast Cancer Histopathological Images for Diagnosis using Deep Learning
Referent:
Ph.D G. Nagarajan, IIT Madras, Dept. of Applied Mechanics,
Chennai, India
Ort:
Hörsaal 3
Ebene E, Uniklinik RWTH Aachen
Pauwelsstr. 30, 52074 Aachen
Zeit:
Freitag, den 15.07.2016, von 14.00 – 15.30 Uhr
Sprache:
englisch
Abstract:
Cancer is a massive public health problem in the world. Breast cancer is the
leading type of malignant tumor observed in women and the effective
treatment depends on its early diagnosis. Histopathological image analysis
is the gold standard in diagnosing all types of cancer and widely used for
Breast cancer diagnosis. The breast cancer diagnosis, including grading
and staging, is done by pathologists applying visual inspection of histological samples under microscope. Histopathological analysis is a highly timeconsuming specialized task. Existing techniques involve errors due to manual interpretation and variances due to subjective evaluation. Classification
and segmentation of histopathological images into distinct histopathology
pattern is the prior goal in computer aided image analysis for cancer diagnosis application. Histopathological images are prone to noise, uneven
staining and variations in shape that makes automated analysis a challenging task. Deep learning can extract and organize the discriminative information from the images. In this work, an attempt is being made to comprehensively analyse and classify the breast cancer histopathological images
using deep learning. In this seminar, the technological challenges, methods
of addressing them and their clinical relevance would be discussed.
The Institute of Electrical
and Electronics Engineers
Deutsche Sektion
Joint Chapter EMB
http://ewh.ieee.org/r8/germany/e
mb/