Machine Learning Algorithm for Distinguishing Ductal Carcinoma In Situ from Invasive Breast Cancer

Machine Learning Algorithm for Distinguishing Ductal Carcinoma In Situ from Invasive Breast Cancer

Purpose: Given that early identification of breast cancer type allows for less-invasive therapies, we aimed to develop a machine learning model to discriminate between ductal carcinoma in situ (DCIS) and minimally invasive breast cancer (MIBC). Methods: In this retrospective study, the health record...

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Bibliographic Details
Main Authors: Vu Pham Thao Vy, Melissa Min-Szu Yao, Nguyen Quoc Khanh Le, Wing P. Chan
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Cancers
Subjects:
ductal carcinoma in situ
minimally invasive breast cancer
XGBoost
mammographic
ultrasonographic
breast cancer
Online Access:https://www.mdpi.com/2072-6694/14/10/2437

Internet

https://www.mdpi.com/2072-6694/14/10/2437

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