Effective Breast Cancer Recognition Based on Fine-Grained Feature Selection

Effective Breast Cancer Recognition Based on Fine-Grained Feature Selection

Early detection and diagnosis of breast cancer are crucial to improve the survival rates of patients. Hence, pathologists and radiologists need a computer-aided diagnosis system to assist their clinical diagnoses effectively and efficiently. However, most breast cancer recognition models are faced w...

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Bibliographic Details
Main Authors: Guangli Li, Tian Yuan, Chuanxiu Li, Jianwu Zhuo, Ziliang Jiang, Jinpeng Wu, Donghong Ji, Hongbin Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Breast cancer recognition
fine-grained feature selection
sample scarcity
efficient range-based gene selection
cross-modal correlation mining
gradient boosting decision tree
Online Access:https://ieeexplore.ieee.org/document/9301298/

Internet

https://ieeexplore.ieee.org/document/9301298/

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