Automated Molecular Subtyping of Breast Carcinoma Using Deep Learning Techniques

Automated Molecular Subtyping of Breast Carcinoma Using Deep Learning Techniques

Objective: Molecular subtyping is an important procedure for prognosis and targeted therapy of breast carcinoma, the most common type of malignancy affecting women. Immunohistochemistry (IHC) analysis is the widely accepted method for molecular subtyping. It involves the assessment of the four molec...

Full description

Bibliographic Details
Main Authors: S. Niyas, Ramya Bygari, Rachita Naik, Bhavishya Viswanath, Dhananjay Ugwekar, Tojo Mathew, J Kavya, Jyoti R Kini, Jeny Rajan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Molecular subtyping
breast cancer
image segmentation
deep learning
Online Access:https://ieeexplore.ieee.org/document/10038704/

Similar Items

Similar Items