Breast Cancer Classification From Histopathological Images Using Patch-Based Deep Learning Modeling

Breast Cancer Classification From Histopathological Images Using Patch-Based Deep Learning Modeling

Accurate detection and classification of breast cancer is a critical task in medical imaging due to the complexity of breast tissues. Due to automatic feature extraction ability, deep learning methods have been successfully applied in different areas, especially in the field of medical imaging. In t...

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Bibliographic Details
Main Authors: Irum Hirra, Mubashir Ahmad, Ayaz Hussain, M. Usman Ashraf, Iftikhar Ahmed Saeed, Syed Furqan Qadri, Ahmed M. Alghamdi, Ahmed S. Alfakeeh
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep Learning
deep belief network
histopathology images
classification
breast cancer
Online Access:https://ieeexplore.ieee.org/document/9344592/

Internet

https://ieeexplore.ieee.org/document/9344592/

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