A Comprehensive Study on Classification of Breast Cancer Histopathological Images: Binary Versus Multi-Category and Magnification-Specific Versus Magnification-Independent

A Comprehensive Study on Classification of Breast Cancer Histopathological Images: Binary Versus Multi-Category and Magnification-Specific Versus Magnification-Independent

There are millions of cancer cases worldwide every year, and breast cancer is one of the most prevalent diseases with the highest mortality rate. The manual effort of pathologists can be significantly reduced by computerized diagnostic systems, which improve the accuracy and reliability of diagnosis...

Full description

Bibliographic Details
Main Authors: Shahram Taheri, Zahra Golrizkhatami, Ammar A. Basabrain, Mohannad S. Hazzazi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
breast cancer
BreakHis dataset
histopathological images
score-level fusion
directed acyclic graph
Online Access:https://ieeexplore.ieee.org/document/10494743/

Internet

https://ieeexplore.ieee.org/document/10494743/

Similar Items