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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2020, Vol.8, p.227538-227555
Hauptverfasser:	Li, Guangli, Yuan, Tian, Li, Chuanxiu, Zhuo, Jianwu, Jiang, Ziliang, Wu, Jinpeng, Ji, Donghong, Zhang, Hongbin
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Algorithms Biological system modeling Biomedical imaging Breast cancer Breast cancer recognition Computational modeling cross-modal correlation mining Decision trees Diagnosis efficient range-based gene selection Feature extraction Feature selection fine-grained feature selection gradient boosting decision tree sample scarcity Solid modeling
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!