An investigation of XGBoost-based algorithm for breast cancer classification

An investigation of XGBoost-based algorithm for breast cancer classification

Breast cancer is one of the leading cancers affecting women around the world. The Computer-Aided Diagnosis (CAD) system is a powerful tool to assist pathologists during the process of diagnosing cancer, which effectively identifies the presence of cancerous cells. A standard CAD system includes proc...

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Bibliographic Details
Main Authors: Xin Yu Liew, Nazia Hameed, Jeremie Clos
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Machine Learning with Applications
Subjects:
Deep learning
Extreme gradient boosting
XGBoost
Machine learning
Computer-aided diagnosis
Breast cancer
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827021000773

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http://www.sciencedirect.com/science/article/pii/S2666827021000773

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